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Wyszukujesz frazę "artificial intelligence" wg kryterium: Wszystkie pola


Tytuł:
Compliance programs and artificial intelligence
Autorzy:
Vecchio, Fabrizio Bon
Vieira, Débora Manke
Powiązania:
https://bibliotekanauki.pl/articles/1834993.pdf
Data publikacji:
2021
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Tematy:
business decisions
artificial intelligence
big data
compliance
Internal controls
Opis:
Nowadays we have been dealing with a significant increase in decisions based, solely, on Big Data and algorithms, which means that many processes are fully automated. Every organization that adopts compliance systems must follow parameters. These parameters are better controlled when used by artificial intelligence, since there is no direct involvement of human beings and, consequently, less chance of error, intentional or not. This illustrates a scenario where the use of artificial intelligence can be more efficient and less costly than other tools, in addition to being more accurate. It is not surprising, therefore, that more and more people talk about algorithmic decisions. Although there have already been several studies on cognitive biases, there are numerous difficulties in dealing with the topic, as many of those who are involved in organizational decisions are considered partial or biased and may not reflect the expected ethical standard. It is believed that the machine tends to fail less, according as it replaces human decisions – considered naturally flawed and impartial. Is it, therefore, an efficient and safe substitute for the implementation and maintenance of compliance systems in organizations?
Źródło:
Studia Prawnicze: rozprawy i materiały; 2021, (28), 1; 61-69
1689-8052
2451-0807
Pojawia się w:
Studia Prawnicze: rozprawy i materiały
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence, Law, and Ethics
Autorzy:
Mazurek, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/2185962.pdf
Data publikacji:
2023-01-15
Wydawca:
Akademia Leona Koźmińskiego w Warszawie
Źródło:
Krytyka Prawa. Niezależne Studia nad Prawem; 2023, 15, 1; 11-14
2080-1084
2450-7938
Pojawia się w:
Krytyka Prawa. Niezależne Studia nad Prawem
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence and scholastic epistemology
Autorzy:
P. Grygiel, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/764779.pdf
Data publikacji:
2005
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2005, 3, 1
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence v. Personal Data
Autorzy:
Chałubińska-Jentkiewicz, Katarzyna
Nowikowska, Monika
Powiązania:
https://bibliotekanauki.pl/articles/2154728.pdf
Data publikacji:
2022-09-30
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
Artificial Intelligence (AI)
new technologies
personal data
regulation
Opis:
The world is constantly changing under the influence of new technologies. Artificial intelligence systems are currently used in many areas of human activity. Such systems are increasingly assigned the tasks of collecting and analysing personal data. The areas successfully using AI include transport, medicine, trade, marketing, and others. The number of these areas increases proportionally with the advancement of technology. We can process vast amounts of data and analyse it using IA. It is, of course, big data that sits at the heart of AI. As computing systems generally have grown in power and capacity, data consumption has grown exponentially.
Źródło:
Polish Political Science Yearbook; 2022, 3 (51); 183-191
0208-7375
Pojawia się w:
Polish Political Science Yearbook
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence at universities in Poland
Autorzy:
Stachowicz-Stanusch, A.
Amann, W.
Powiązania:
https://bibliotekanauki.pl/articles/392992.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
artificial intelligence
chatbot
intelligent tutoring system
sztuczna inteligencja
wirtualny asystent
inteligentny system nauczania
Opis:
Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. Chatbots are one of those AI-driven solutions that support learning and teaching processes also in higher education institutions. In this paper there are presented two cases of chatbot technology implementation at Polish universities. Chatbots develop students’ technical and programming skills, but also provide the possibility of gaining linguistic expertise. However, a chatbot’s teaching mastery depends also on its users. That is why it is important to get students to truly understand AI systems and feel responsible for the conversation. But above all, we should ensure that chatbots respect human and civil rights.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2018, 2; 65-82
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence technologies in precision agriculture
Autorzy:
Pawłowski, T.
Ganchenko, V.
Doudkin, A.
Petrovsky, A.
Powiązania:
https://bibliotekanauki.pl/articles/337083.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
precision agriculture
perceptron
disease detection
object classification
training sample
Opis:
Image processing, object classification and artificial neural network algorithms are considered in the paper applying to disease area recognition of agricultural field images. The images are presented as reduced normalized histograms. The classification is carried out for RGB-and HSV-space by using a multilayer perceptron.
Źródło:
Journal of Research and Applications in Agricultural Engineering; 2013, 58, 2; 119-126
1642-686X
2719-423X
Pojawia się w:
Journal of Research and Applications in Agricultural Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Why do Competition Authorities need Artificial Intelligence?
Autorzy:
Lorenzoni, Isabella
Powiązania:
https://bibliotekanauki.pl/articles/2159085.pdf
Data publikacji:
2022-12-19
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
Artificial Intelligence
Competition law
enforcement
digital economy
digital market
Opis:
Recent technological developments are transforming the way antitrust is enforced as well as the way market players are infringing competition law. As a result, enforcers are starting to equip themselves with sophisticated digital investigation tools. This paper explores this interest in building an Artificial Intelligence (AI) arsenal for the fight against algorithmic infringements. What are the key factors motivating regulators to develop their own technological tools to enforce competition law? Building on interviews with a number of competition authorities, this paper finds that changes in digital markets, the need for enforcers to reverseengineer companies’ algorithms in order to better understand their implications for competition law, the need to enhance efficiency and keep pace with the fast
Les récents développements technologiques transforment la manière don’t les règles de la concurrence sont appliquées et la manière dont les acteurs du marché enfreignent le droit de la concurrence. En conséquence, les autorités ont commencé à se doter d’outils d’investigation numériques sophistiqués. Cet article explore cet intérêt à construire un arsenal basé sur l’Intelligence Artificielle pour lutter contre les infractions algorithmiques. Quels sont les principaux facteurs qui motivent les autorités à développer leur propre équipement technologique pour faire respecter le droit de la concurrence ? En s’appuyant sur des entretiens avec certaines autorités de la concurrence, cet article constate que les changements survenus sur les marchés numériques, la nécessité d’appliquer la rétro-ingénierie aux algorithmes des entreprises afin de mieux comprendre leurs implications pour le droit de la concurrence, la nécessité d’améliorer l’efficacité et de suivre le rythme de l’évolution rapide de l’économie numérique, et enfin la diminution des demandes de clémence, sont autant de raisons pour lesquelles les autorités de concurrence devraient rechercher des moyens plus innovants et alternatifs pour dynamiser leurs enquêtes.
Źródło:
Yearbook of Antitrust and Regulatory Studies; 2022, 15, 26; 33-56
1689-9024
2545-0115
Pojawia się w:
Yearbook of Antitrust and Regulatory Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stakeholder-accountability model for artificial intelligence projects
Autorzy:
Miller, Glorja J.
Powiązania:
https://bibliotekanauki.pl/articles/2163225.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
accountability
artificial intelligence
algorithms
project management
ethics
Opis:
Aim/purpose – This research presents a conceptual stakeholder accountability model for mapping the project actors to the conduct for which they should be held accountable in artificial intelligence (AI) projects. AI projects differ from other projects in important ways, including in their capacity to inflict harm and impact human and civil rights on a global scale. The in-project decisions are high stakes, and it is critical who decides the system’s features. Even well-designed AI systems can be deployed in ways that harm individuals, local communities, and society. Design/methodology/approach – The present study uses a systematic literature review, accountability theory, and AI success factors to elaborate on the relationships between AI project actors and stakeholders. The literature review follows the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement process. Bovens’ accountability model and AI success factors are employed as a basis for the coding framework in the thematic analysis. The study uses a web-based survey to collect data from respondents in the United States and Germany employing statistical analysis to assess public opinion on AI fairness, sustainability, and accountability. Findings – The AI stakeholder accountability model specifies the complex relationships between 16 actors and 22 stakeholder forums using 78 AI success factors to define the conduct and the obligations and consequences that characterize those relationships. The survey analysis suggests that more than 80% of the public thinks AI development should be fair and sustainable, and it sees the government and development organizations as most accountable in this regard. There are some differences between the United States and Germany regarding fairness, sustainability, and accountability. Research implications/limitations – The results should benefit project managers and project sponsors in stakeholder identification and resource assignment. The definitions offer policy advisors insights for updating AI governance practices. The model presented here is conceptual and has not been validated using real-world projects. Originality/value/contribution – The study adds context-specific information on AI to the project management literature. It defines project actors as moral agents and provides a model for mapping the accountability of project actors to stakeholder expectations and system impacts.
Źródło:
Journal of Economics and Management; 2022, 44; 446-494
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence - an agenda for management sciences
Autorzy:
Jarosz, Szymon
Powiązania:
https://bibliotekanauki.pl/articles/2231196.pdf
Data publikacji:
2023-07-20
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
Artificial Intelligence
management
literature review
agenda
keywords analysis
Opis:
Nowadays, the need for digitisation and digitalisation of enterprises, as well as the use of solutions based on Artificial Intelligence (AI), are coming to the fore. The use of intelligent systems in organisations is not a strictly technical issue, and is also important in the management of modern enterprises. The aim of this article is to provide a theoretical analysis of the phenomenon of Artificial Intelligence in management sciences by means of a systematic review of the literature using Scopus database records. Bibliographic analysis of Artificial Intelligence in management sciences in this article points to this topic as something relatively new in the case of management sciences, although rapidly developing. As part of the bibliographic analysis we propose an agenda regarding the issue of AI in management sciences, consisting of thematic clusters related to technologies based on and complementary to AI, the goals of using AI in organisations, human-AI relations and issues related to ethics and sustainable development.
Źródło:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2023, 99, 2; 47-55
1731-6758
1731-7428
Pojawia się w:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence and blockchain for smart city
Autorzy:
Kauf, Sabina
Powiązania:
https://bibliotekanauki.pl/articles/2204746.pdf
Data publikacji:
2021
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
smart city
artificial intelligence
blockchain
miasto inteligentne
sztuczna inteligencja
Opis:
Introduction/background: In this article, we want to focus on two very important aspects of a Smart City, which is the use of artificial intelligence and Blockchain in the functioning of cities. Aim of the paper: The aim of the article is to assess the possibilities of using those technologies implementation of public tasks and in everyday contacts of the public sector with stakeholders. Materials and methods: The article is theoretical and is based on a review of the literature and examples in the implementation of Artificial Intelligence and Blockchain technology in a smart city. Results and conclusions: Artificial Intelligence and Blockchain have great potential to support the development of smart city. The dissemination of these technologies is indicated by the Gartner curve for Digital Government Technology. AI (Autonomus Vehicles) and Blockchain are the most impact technologies on government organizations over the next 5 to 10 years AI and Blockchain can provide significant benefits to many areas of the city's functioning: it is a huge database for collecting and analyzing. Blockchain consensus methods allow greater transparency and less susceptibility to manipulation, they increase the tendency of stakeholders to participate and intensify social initiatives.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2021, 3; 49--62
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying artificial intelligence algorithms in MOBA games
Autorzy:
Wiśniewski, M.
Niewiadomski, A.
Powiązania:
https://bibliotekanauki.pl/articles/92952.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
multiplayer online battle arena
MOBA
artificial intelligence
AI
genetic algorithm
GA
computer game
computer game agents
bots
Opis:
Multiplayer Online Battle Arena games focus mainly on struggles between two teams of players. An increasing level of cyberbullying [1] discourages new players from the game and they often chose a different option, that is, a match against opponents controlled by the computer. The behavior of artificial foes can be dynamically fitted to user’s needs, in particular with regard to the difficulty of the game. In this paper we explore different approaches to provide an intelligent behavior of bots basing on more human-like combat predictions rather than instant, scripted behaviors.
Źródło:
Studia Informatica : systems and information technology; 2016, 1-2(20); 53-64
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Combating economic cybercrime using artificial intelligence (AI)
Autorzy:
Bukowski, Michał
Powiązania:
https://bibliotekanauki.pl/articles/45660753.pdf
Data publikacji:
2023-11-13
Wydawca:
Akademia Policji w Szczytnie
Tematy:
AI
Threat Detection
Behavioral Analysis
Fraud Prevention
Phishing
Malware Detection
Vulnerability Management
Incident Response
Threat Hunting
Predictive Analytics
Security Automation
Opis:
Combating economic cybercrime using AI can be a new powerful approach. AI technologies have the potential to detect and respond to cyber threats in real-time, identify patterns and anomalies in large data sets, and automate various security processes. The basic ways of using artificial intelligence to combat economic cybercrime are Threat Detection, Behavioral Analysis, Fraud Prevention, Phishing and Malware Detection, Vulnerability Management, Incident Response and Threat Hunting, Predictive Analytics or Security Automation. However, it should be noted that while AI can significantly improve cybersecurity operations, it is not a standalone solution. It should be used in conjunction with other security measures such as regular software updates, employee training, and strong access controls to create a robust defense against economic cybercrime.
Źródło:
Przegląd Policyjny; 2023, 151(3); 339-365
0867-5708
Pojawia się w:
Przegląd Policyjny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence versus natural intelligence in mineral processing
Autorzy:
Özkan, Şafak Gökhan
Powiązania:
https://bibliotekanauki.pl/articles/24148604.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
NI
natural intelligence
AI
artificial intelligence
ML
machine learning
DL
deep learning
ES
expert systems
mineral processing
Opis:
This article aims to introduce the terms NI-Natural Intelligence, AI-Artificial Intelligence, ML-Machine Learning, DL-Deep Learning, ES-Expert Systems and etc. used by modern digital world to mining and mineral processing and to show the main differences between them. As well known, each scientific and technological step in mineral industry creates huge amount of raw data and there is a serious necessity to firstly classify them. Afterwards experts should find alternative solutions in order to get optimal results by using those parameters and relations between them using special simulation software platforms. Development of these simulation models for such complex operations is not only time consuming and lacks real time applicability but also requires integration of multiple software platforms, intensive process knowledge and extensive model validation. An example case study is also demonstrated and the results are discussed within the article covering the main inferences, comments and decision during NI use for the experimental parameters used in a flotation related postgraduate study and compares with possible AI use.
Źródło:
Physicochemical Problems of Mineral Processing; 2023, 59, 5; art. no. 167501
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Administrative Decisions in the Era of Artificial Intelligence
Autorzy:
Pszczyński, Mateusz
Powiązania:
https://bibliotekanauki.pl/articles/1831426.pdf
Data publikacji:
2020-12-30
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
public administration
artificial intelligence
administrative decision
automatic decision making
Opis:
The rapid development of cybernetics allows the use of artificial intelligence in many areas of social and economic life. The State can also harness algorithms and machine learning for its actions. Automatic decision making should be one of the stages in the development and improvement of public administration. While it is easy to implement these solutions in the case of related decisions, decisions made under administrative discretion, general clauses or valuation standards pose a challenge. The correct transformation of paper-based public administration into automatic public administration requires a change in decision makers’ thinking, the introduction of new solutions, and building trust in artificial intelligence. Therefore, new solutions have to be built in accordance with the principles of transparency, accountability, equality, goodness and justice. Artificial intelligence making automatic decisions on behalf of the State must be a tool to support the execution of public tasks concerning citizens which is based on trust towards AI and public administration.
Źródło:
Adam Mickiewicz University Law Review; 2020, 11; 253-271
2450-0976
Pojawia się w:
Adam Mickiewicz University Law Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sisyphus Cannot Rest. Ethical Challenges of Artificial Intelligence
Autorzy:
Thiel, Volker
Powiązania:
https://bibliotekanauki.pl/articles/781483.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
artificial intelligence
machine ethics
automotive driving
emotional elusions
personal responsibility
Opis:
The use of machines with artificial intelligence in different areas of life and the trend to develop a „homunculus“ makes ethical rating necessary. Starting with early rules of behavior and moral norms, traditions in the occidental ethic history will be presented and faced with the question, whether they can be of any help to understand artificial intelligence, and which conclusions should be considered while developing and using machines with (strong) artifical intelligence by individuals, states, and finally, the whole world.
Źródło:
Ethics in Progress; 2019, 10, 2; 33-44
2084-9257
Pojawia się w:
Ethics in Progress
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence in Audit
Sztuczna inteligencja w audycie
Autorzy:
Karmańska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/2158933.pdf
Data publikacji:
2022
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
audit
Artificial Intelligence
machine learning
audyt
sztuczna inteligencja
uczenie maszynowe
Opis:
The main objective of this paper is to identify the benefits of applying the Artificial Intelligence (AI) in the audit sector. The study employed a questionnaire for a research sample including 206 auditing and accounting practitioners and students. Data were collected via an online survey. A principal axis factor analysis with the Promax rotation was conducted to assess the underlying structure for the points of the questionnaire. The research outcomes indicate that, in the opinion of the respondents, AI adoption increases audit efficiency, and enhances client communication and service. Finally, AI can also automate time-consuming and routine tasks. The three indicated factors account for 62.223% variance. The findings reveal the advantages of AI adoption and could support managers in deploying new technology in their organizations. The research limitation concerns the fact that this study focused only on respondents from Poland.
Celem artykułu jest wskazanie korzyści płynących z zastosowania sztucznej inteligencji (AI) w badaniu sprawozdań finansowych. Posłużono się kwestionariuszem ankiety. Próbą badawczą objęto 206 praktyków i studentów audytu i rachunkowości. Zastosowano analizę czynnikową metodą głównych składowych z rotacją Promax. Wyniki wskazują, że w opinii respondentów zastosowanie sztucznej inteligencji zwiększa efektywność audytu. Sztuczna inteligencja usprawnia komunikację i obsługę klienta. Ponadto AI może zautomatyzować czasochłonne i rutynowe zadania. Powyższe trzy czynniki odpowiadają za 62,223% wariancji. Wyniki badania wskazują na korzyści płynące z implementacji sztucznej inteligencji w audycie i mogą wspierać menedżerów we wdrażaniu nowych technologii w ich organizacjach. Ograniczeniem badawczym jest fakt, że badanie koncentruje się na respondentach jedynie z Polski.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2022, 66, 4; 87-99
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cognitive technologies and artificial intelligence in social perception
Autorzy:
Kuzior, Aleksandra
Kwilinski, Aleksy
Powiązania:
https://bibliotekanauki.pl/articles/2204116.pdf
Data publikacji:
2022
Wydawca:
STE GROUP
Tematy:
cognitive technologies
artificial intelligence
social perception
modern business service
Opis:
Cognitive technologies and artificial intelligence dynamize the development of the modern world in various spheres. Modern man is not always aware of how often he uses this type of technology, both in everyday life and at work. The conducted literature research has shown a growing interest in the discussed issues. The diagnostic survey allowed the assessment of the level of familiarity with the terms "cognitive technologies" and "artificial intelligence" in the perception of students, doctoral students and employees of a selected university. The auditorium survey technique was used for the research. The research shows that the distance between humans and an intelligent robot is decreasing. A man is inclined to let intelligent robots enter even the most intimate spheres of his life. The article contributes to filling the gap in knowledge about the perception and application of intelligent technologies and the readiness to use them. Furthermore, it sets out further directions for research on this phenomenon.
Źródło:
Management Systems in Production Engineering; 2022, 2 (30); 109--115
2299-0461
Pojawia się w:
Management Systems in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Idea sztucznej inteligencji
The Idea of Artificial Intelligence
Autorzy:
Trzęsicki, Kazimierz
Powiązania:
https://bibliotekanauki.pl/articles/41310546.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN
Tematy:
Artificial Intelligence
Ramon Lullus
Athanasius Kircher
Gottfried Leibniz
sztuczna inteligencja
Lullus
Opis:
Sztuczna inteligencja, nadzieja na wielki postęp a zarazem obawa przed nieznanym i niewyobrażalnym, ma początki w ludzkich marzeniach, których urzeczywistnianie dokonuje się przez racjonalny wysiłek intelektualny. Zarodka intelektualnej idei sztucznej inteligencji dopatrujemy się w pomysłach Lullusa. Rozwój sztuki lullusowej, ars combinatoria, był udziałem wielu. Szczególną postacią w tym łańcuchu entuzjastów i badaczy był Athanasius Kircher. Okres kształtowania się idei sztucznej inteligencji kończy Gottfried Leibniz, a zarazem od niego zaczyna się historia sztucznej inteligencji jako nauki we współczesnym rozumieniu.
Artificial Intelligence, both as a hope of making a substantial progress, and a fear of the unknown and unimaginable, has its roots in human dreams. These dreams were materialized by means of rational intellectual efforts. We see beginnings of such a process in Lullus’s fancies. Many scholars and enthusiasts participated in the development of Lullus’s art, ars combinatoria. Amongst them, Athanasius Kircher was distinguished. Gottfried Leibniz ended the period in which the idea of artificial intelligence had been shaped, and started a new one when artificial intelligence could be considered a part of science, according to today’s standards.
Źródło:
Filozofia i Nauka; 2020, 8, 1; 69-96
2300-4711
2545-1936
Pojawia się w:
Filozofia i Nauka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence Methods in Spare Parts Demand Forecasting
Autorzy:
Rosienkiewicz, Maria
Powiązania:
https://bibliotekanauki.pl/articles/504136.pdf
Data publikacji:
2013
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
lumpy demand
forecasting
ANN
Artificial Intelligence
Opis:
The paper discusses the problem of forecasting lumpy demand which is typical for spare parts. Several prediction methods are presented in the article – traditional techniques based on time series and advanced methods that use Artificial Intelligence tools. The research conducted in the paper focuses on comparison of eight forecasting methods, including classical, hybrid and based on artificial neural networks. The aim of the paper is to assess the efficiency of lumpy demand forecasting methods that apply AI tools. The assessment is conducted by a comparison with traditional methods and it is based on Root Mean Square Errors (RMSE) and relative forecast errors (ex post) values. The article presents also a new approach to the lumpy demand forecasting issue – a method which combines regression modelling, information criteria and artificial neural networks.
Źródło:
Logistics and Transport; 2013, 18, 2; 41-50
1734-2015
Pojawia się w:
Logistics and Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence methods in diagnostics of analog systems
Autorzy:
Bilski, P.
Wojciechowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/908112.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault detection
artificial intelligence
analog system
detekcja uszkodzeń
sztuczna inteligencja
system analogowy
Opis:
The paper presents the state of the art and advancement of artificial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identification are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. Examples, such as the induction motor or the electronic filter, are provided to show the applicability of the presented approaches for monitoring the state of analog objects from engineering domains. The discussion section reviews the presented approaches, their future prospects and problems to be solved.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2014, 24, 2; 271-282
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Introduction to the issue: Artificial intelligence and transhumanism
Autorzy:
Dąbrowski, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/51461429.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Komisji Edukacji Narodowej w Krakowie. Instytut Filozofii i Socjologii
Źródło:
ARGUMENT: Biannual Philosophical Journal; 2023, 13, 1; 5-9
2083-6635
2084-1043
Pojawia się w:
ARGUMENT: Biannual Philosophical Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Frame Problem in Artificial Intelligence and Philosophy
Autorzy:
Gryz, Jarek
Powiązania:
https://bibliotekanauki.pl/articles/964030.pdf
Data publikacji:
2013-06-01
Wydawca:
Uniwersytet Warszawski. Wydział Filozofii
Opis:
The field of Artificial Intelligence (AI) has been around for over 60 years now. Soon after its inception, the founding fathers predicted that within a few years an intelligent machine would be built. That prediction failed miserably. Not only hasn’t an intelligent machine been built, but we are not much closer to building one than we were some 50 years ago. Many reasons have been given for this failure, but one theme has been dominant since its advent in 1969: The Frame Problem. What looked initially like an innocuous problem in logic, turned out to be a much broader and harder problem of holism and relevance in commonsense reasoning. Despite an enormous literature on the topic, there is still disagreement not only on whether the problem has been solved, but even what exactly the problem is. In this paper, we provide a formal description of the initial problem, the early attempts at a solution, and its ramifications both in AI as well as philosophy.
Źródło:
Filozofia Nauki; 2013, 21, 2; 15-30
1230-6894
2657-5868
Pojawia się w:
Filozofia Nauki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evidence from Artificial Intelligence in General Administrative Procedure
Autorzy:
Dubiński, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/28672992.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
artificial intelligence
evidence
administrative procedure
Opis:
Artificial intelligence is becoming an element of everyday life, and also a part of administrative proceedings. The legislator systematically adds regulations that allow public administration bodies to use artificial intelligence. At the same time, the Code of Administrative Procedure has not been amended in this respect. The article tries to establish what artificial intelligence evidence is. In addition, the issue of whether the rules on administrative evidence should be changed to cover the use of AI evidence is examined.
Źródło:
Adam Mickiewicz University Law Review; 2022, 14; 251-280
2450-0976
Pojawia się w:
Adam Mickiewicz University Law Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Przeszłość – teraźniejszość – przyszłość (?) Pomiędzy małpim przodkiem a Artificial Intelligence
Past – Present – Future (?) Between the Ape Ancestor and the Artificial Intelligence
Autorzy:
Zamojski, Adam
Powiązania:
https://bibliotekanauki.pl/articles/2129739.pdf
Data publikacji:
2022-07-21
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
Andrzej Sepkowski
antropogeneza
ludzka natura
sztuczna inteligencja
Elon Musk
anthropogenesis
human nature
artificial intelligence
Opis:
Artykuł omawia genezę człowieka, istotę natury ludzkiej oraz wizję przyszłości ludzkości. W syntetyczny sposób przedstawia główne etapy procesu antropogenezy. Opisuje dwoistą naturę współczesnego człowieka (naturę biologiczną i kulturową). Artykuł odnosi się do pojawienia się Sztucznej Ogólnej Inteligencji (AGI) jako wyzwania dla ludzkości.
The article discusses the genesis of man, the human nature and the vision of the future of mankind. In a synthetic way it presents the main stages of the process of anthropogenesis. It describes the dual nature of modern man (biological and cultural nature). The article refers to the emergence of Artificial General Intelligence (AGI) as a challenge for humanity.
Źródło:
International Studies. Interdisciplinary Political and Cultural Journal; 2021, 27, 1; 11-27
1641-4233
2300-8695
Pojawia się w:
International Studies. Interdisciplinary Political and Cultural Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence in Medicine
Sztuczna inteligencja w medycynie
Autorzy:
Wajs, W.
Powiązania:
https://bibliotekanauki.pl/articles/274631.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
metody klasyfikacji
metody korelacji
systemy ekspertowe
sztuczne sieci immunologiczne
metody statystyczne
classification methods
correlation methods
expert systems
artificial immune network
statistics methods
Opis:
Medicine is a discipline that requires both judgment and action. Information science can help in several aspect. It can help the physician in collecting complete and relevant data. It can support the physician by providing access to the rapidly increasing sets of medical knowledge through different kinds of the data bases. It can facilitate the management of medical records which may be used for clinical follow-up of patients, clinical research, evaluation of medical action and education. In all these aspects, information science gives indirect help to medical decision.
Medycyna jest dyscypliną, która wymaga zarówno oceny jak też działania. Informatyka może być pomocna w wielu aspektach. Informatyka może pomóc lekarzowi w zbieraniu użytecznych danych. Techniki komputerowe mogą pomóc lekarzowi w dostępie do dużych zbiorów danych poprzez różnego rodzaju bazy danych. Informatyka dostarcza także licznych metod, które mogą mieć zastosowanie w systemach wspomagania decyzji oraz w procesach uczenia.
Źródło:
Pomiary Automatyka Robotyka; 2011, 15, 12; 106-108
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence on the Identification of Beiguan Music
Autorzy:
Chang, Yu-Hsin
Yao, Shu-Nung
Powiązania:
https://bibliotekanauki.pl/articles/1945644.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
artificial neural network
Beiguan music
music information retrieval
social tagging
Opis:
This research determines an identification system for the types of Beiguan music – a historical, non-classical music genre – by combining artificial neural network (ANN), social tagging, and music information retrieval (MIR). Based on the strategy of social tagging, the procedure of this research includes: evaluating the qualifying features of 48 Beiguan music recordings, quantifying 11 music indexes representing tempo and instrumental features, feeding these sets of quantized data into a three-layered ANN, and executing three rounds of testing, with each round containing 30 times of identification. The result of ANN testing reaches a satisfying correctness (97% overall) on classifying three types of Beiguan music. The purpose of this research is to provide a general attesting method, which can identify diversities within the selected non-classical music genre, Beiguan. The research also quantifies significant musical indexes, which can be effectively identified. The advantages of this method include improving data processing efficiency, fast MIR, and evoking possible musical connections from the high-relation result of statistical analyses.
Źródło:
Archives of Acoustics; 2021, 46, 3; 471-478
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using Artificial Intelligence in Public Management: Aspects of Integration
Autorzy:
Storozhenko, Lina
Powiązania:
https://bibliotekanauki.pl/articles/24849612.pdf
Data publikacji:
2023-12-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
artificial intelligence
digital technologies
netocratic public management
integration
information and digital society
Opis:
The article examines various aspects of the use of artificial intelligence in the public administration system. In particular, the world experience of implementing intelligent technologies in management activities of the USA, China, Singapore, Japan, UAE, India, UK, Canada, Germany as leaders in the implementation of effective digital innovations in the field of public administration is considered. Attention is focused on creating favorable conditions at the state level to support initiatives for the development of artificial intelligence and determining its exceptional role in the further development of society. An analysis of Ukrainian practices of integrating artificial intelligence technologies into public administration proves that the use of digital innovations in domestic management activities is a definite pointer for the introduction and approval of relevant social, political, legal, economic, cultural norms in order to form a modern digital society, the most important element of which there is the development and active integration of artificial intelligence technologies into the management system and the formation of a «new» netocratic public administration. The article highlights key aspects of the implementation of artificial intelligence in public administration, including automation of administrative processes, data analysis, open access and exchange of information, security and protection of information, flexibility and adaptability, ensuring public participation, electronic platforms for citizen participation, identification and counteraction corruption, hybrid service systems, efficiency and innovation.
Źródło:
Krakowskie Studia Małopolskie; 2023, 4(40); 37-49
1643-6911
Pojawia się w:
Krakowskie Studia Małopolskie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence systems and the right to good administration
Autorzy:
Wróbel, Izabela Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/2106701.pdf
Data publikacji:
2022-05-30
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II
Tematy:
EU law
fundamental rights
right to good administration
artificial intelligence
AI systems
Opis:
The use of AI in public administration is becoming a reality, although it is still a long way from large-scale undertakings . The right to good administration, well-established in EU legal order, is equally real, however, it must be borne in mind that this right has so far been defined only in relation to traditional administration . Therefore, the purpose of the paper is to examine whether the use of AI in public administration would allow individuals to fully exercise their right to good administration. To achieve this purpose, it is reconstructed, on the basis of EU law provisions in force and the case-law of the CJEU, the meaning and scope of the right to good administration, and analysed, taking into account a definition of AI systems and planned legislative changes, whether and to what extent the reconstructed understanding of this right enables the use of AI systems in public administration. In the course of research the hypothesis that the right to good administration does not preclude the use of AI systems in public administration is verified . As the conducted analysis shows, the right to good administration as interpreted in traditional administration enables the use of AI systems in public administration, provided that the appropriate quality of these systems and the level of knowledge and skills of the parties and authorities are ensured .
Źródło:
Review of European and Comparative Law; 2022, 49, 2; 203-223
2545-384X
Pojawia się w:
Review of European and Comparative Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence-based hybrid forecasting models for manufacturing systems
Autorzy:
Rosienkiewicz, Maria
Powiązania:
https://bibliotekanauki.pl/articles/1841698.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
artificial neural network
support vector machine
extreme learning machine
hybrid forecasting
production planning
maintenance
quality control
Opis:
The paper addresses the problem of forecasting in manufacturing systems. The main aim of the research is to propose new hybrid forecasting models combining artificial intelligencebased methods with traditional techniques based on time series – namely: Hybrid econometric model, Hybrid artificial neural network model, Hybrid support vector machine model and Hybrid extreme learning machine model. The study focuses on solving the problem of limited access to independent variables. Empirical verification of the proposed models is built upon real data from the three manufacturing system areas – production planning, maintenance and quality control. Moreover, in the paper, an algorithm for the forecasting accuracy assessment and optimal method selection for industrial companies is introduced. It can serve not only as an efficient and costless tool for advanced manufacturing companies willing to select the right forecasting method for their particular needs but also as an approach supporting the initial steps of transformation towards smart factory and Industry 4.0 implementation.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 263-277
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementation of artificial intelligence tools to an industrial controller
Autorzy:
Simak, V.
Hrbcek, J.
Janota, A.
Pirnik, R.
Powiązania:
https://bibliotekanauki.pl/articles/393353.pdf
Data publikacji:
2014
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
PLC
fuzzy
control
sterowanie
Opis:
This paper considers the issue of vertical position control of a ball placed on a disc. The aim of this work is to create a fuzzy logic controller able to manage the issue of ball and wheel. The second chapter describes the identification system. In the next chapter a Fuzzy controller is described. The last chapter is dedicated to results of implemented fuzzy controller. Most of control tasks in transport are non-linear. This application should help to apply a fuzzy control in such systems.
Źródło:
Archives of Transport System Telematics; 2014, 7, 3; 47-51
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Review of Artificial Intelligence Algorithms in Document Classification
Autorzy:
Bilski, A.
Powiązania:
https://bibliotekanauki.pl/articles/226245.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
classifier
text classification
data mining
information retrieval
machine learning algorithms
Opis:
With the evolution of Internet, the meaning and accessibility of text documents and electronic information has increased. The automatic text categorization methods became essential in the information organization and data mining process. A proper classification of e-documents, various Internet information, blogs, emails and digital libraries requires application of data mining and machine learning algorithms to retrieve the desired data. The following paper describes the most important techniques and methodologies used for the text classification. Advantages and effectiveness of contemporary algorithms are compared and their most notable applications presented.
Źródło:
International Journal of Electronics and Telecommunications; 2011, 57, 3; 263-270
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Trends of using artificial intelligence in measuring innovation potential
Autorzy:
Gubán, Miklós
Kása, Richard
Takács, Dávid
Avornicului, Mihai
Powiązania:
https://bibliotekanauki.pl/articles/407411.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
process mapping
production logistics
process improvements
shipyard industry
Opis:
The field of academic research on corporate sustainability management has gained significant sophistication since the economic growth has been associated with innovation. In this paper, we are to show our research project that aims to build an artificial intelligence-based neurofuzzy inference system to be able to approximate company’s innovation performance, thus the sustainability innovation potential. For this we used an empirical sample of Hungarian processing industry’s large companies and built an adaptive neuro fuzzy inference system.
Źródło:
Management and Production Engineering Review; 2019, 10, 2; 3-15
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling of Travel Behaviour of Students Using Artificial Intelligence
Autorzy:
Alex, Anu P.
Manju, V. S.
Isaac, Kuncheria P.
Powiązania:
https://bibliotekanauki.pl/articles/224051.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
travel demand models
travel behaviour
transportation planners
travel management
econometric model
podróże
zachowania podróżujących
planowanie podróży
zarządzanie podróżą
model ekonometryczny
Opis:
Travel demand models are required by transportation planners to predict the travel behaviour of people with different socio-economic characteristics. Travel behaviour of students act as an essential component of travel demand modelling. This behaviour is reflected in the educational activity travel pattern, the timing, sequence and mode of travel of students. Roads in the vicinity of schools are adversely affected during the school opening and closing hours. It enhances the traffic congestion, emission and safety problems around schools. It is necessary to improve the safety of school going children by understanding the present travel behaviour and to develop efficient sustainable traffic management measures to reduce congestion in the vicinity of schools. It is possible only if the travel behaviour of educational activities are studied. This travel behaviour is complex in nature and lot of uncertainty exists. Selection of modelling technique is very important for modelling the complex travel behaviour of students. This leads to the importance of application of artificial intelligence (AI) techniques in this area. AI techniques are highly developed in twenty first century due to the advancements in computer, big data and theoretical understanding. It is proved in the literature that these techniques are suitable for modelling the human behaviour. However, it has not been used in behaviourally oriented activity based modelling. This study is aimed to develop a model system to predict the daily travel behaviour of students using artificial intelligence technique, ANN. These ANN models were then compared with the conventional econometric models developed. It was observed that artificial intelligence models provide better results than econometric models in predicting the activity-travel behaviour of students. These models were further applied to study the variation in activity-travel behaviour, if short term travel-demand management measures like promoting walking for educational activities are implemented. Thus the study established that artificial intelligence can replace the conventional econometric methods for modelling the activity-travel behaviour of students. It can also be used for analysing the impact of short term travel demand management measures.
Źródło:
Archives of Transport; 2019, 51, 3; 7-19
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Smart operating room and surgery driven by artificial intelligence
Autorzy:
Frank, Alexander
Karcz, W. Konrad
Powiązania:
https://bibliotekanauki.pl/articles/2063771.pdf
Data publikacji:
2020
Wydawca:
Międzynarodowe Stowarzyszenie na rzecz Robotyki Medycznej
Tematy:
sztuczna inteligencja
zarządzanie szpitalem
zarządzanie oddziałem chirurgicznym
sala operacyjna
artificial intelligence
hospital management
management of the surgical department
operating room
Opis:
From a surgical point of view, artificial intelligence (AI) does seem to be the holy grail of future medicine. Today data driven medicine influence also handwork - done with knifes, scissors, needles and sutures. Should a surgeon learn something about AI and data science? Big data, machine learning, NLP, video analysis and robotics will be a big part of modern surgery. Today’s operating robots like the Davinci already works with video analysis and machine learning. How AI will influence the OR of the future will be shown in this story. Please meet Dr. Smith. The surged of the future!
Źródło:
Medical Robotics Reports; 2020, 8/9; 68--71
2299-7407
Pojawia się w:
Medical Robotics Reports
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence Approaches to Fault Diagnosis for Dynamic Systems
Autorzy:
Patton, R. J.
Lopez-Toribio, C. J.
Uppal, F. J.
Powiązania:
https://bibliotekanauki.pl/articles/908290.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
metoda sztucznej inteligencji
rozpoznanie błędu
modelowanie rozmyte
system rozmyty
artificial intelligence methods
fault diagnosis
residual generation
fuzzy modelling
neuro-fuzzy systems
Opis:
Recent approaches to fault detection and isolation (FDI) for dynamic systems using methods of integrating quantitative and qualitative model information, based upon artificial intelligence (AI) techniques are surveyed. In this study, the use of AI methods is considered an important extension to the quantitative model-based approach for residual generation in FDI. When quantitative models are not readily available, a correctly trained artificial neural network (ANN) can be used as a non-linear dynamic model of the system. However, the neural network does not easily provide insight into model behaviour; the model is explicit rather than implicit in form. This main difficulty can be overcome using qualitative modelling or rule-based inference methods. For example, fuzzy logic can be used together with state-space models or neural networks to enhance FDI diagnostic reasoning capabilities. The paper discusses the properties of several methods of combining quantitative and qualitative system information and their practical value for fault diagnosis of real process systems.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 3; 471-518
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Use of artificial intelligence in remote biometric identification systems
Autorzy:
Czaplicki, Kamil
Powiązania:
https://bibliotekanauki.pl/articles/31342856.pdf
Data publikacji:
2023
Wydawca:
Stowarzyszenie SILGIS
Tematy:
biometrics
artificial intelligence
remote biometric identification systems
biometria
sztuczna inteligencja
systemy zdalnej identyfikacji biometrycznej
Opis:
Work is currently underway to regulate the use of artificial intelligence. The article presents the ideas and principles of creating remote biometric identification systems using AI technologies. Risks to privacy and possible scenarios for the use of such systems are presented.
Źródło:
GIS Odyssey Journal; 2023, 3, 2; 107-115
2720-2682
Pojawia się w:
GIS Odyssey Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Everyday artificial intelligence unveiled: Societal awareness of technological transformation
Autorzy:
Moravec, Vaclav
Hynek, Nik
Gavurova, Beata
Kubak, Matus
Powiązania:
https://bibliotekanauki.pl/articles/39992183.pdf
Data publikacji:
2024
Wydawca:
Instytut Badań Gospodarczych
Tematy:
everyday artificial intelligence
AI literacy
security and technology
technological awareness
digital transformation
Opis:
Research background: As Artificial Intelligence (AI) weaves into the fabric of daily life, its societal and economic implications underscore the urgency of embracing an environment conducive to its informed adoption. This requires a sophisticated understanding of the societal perception and adaptability to AI, emphasizing the importance of developing comprehensive AI literacy.  Purpose of the article: This study inquiries into the sociodemographic underpinnings of AI literacy, aiming to demystify how knowledge about AI's capabilities in everyday tasks varies across individual population segments. It allows us to define the basic determinants that influence the differences in the individual population structures. It also reveals the potential risks associated with the use of AI. Methods: This study investigates the awareness of Artificial Intelligence (AI) in daily lives of the Czech population, focusing on the influence of socio-demographic factors. Utilizing computer-assisted web interviewing, we surveyed 1,041 respondents in April 2023, ensuring representativeness by applying quotas for age, gender, education, region, and residential area size. Our investigation spanned AI applications in sectors like customer service, music playlist recommendation, email sorting, healthcare, online shopping, and home devices. Findings & value added: Findings taken from descriptive statistics reveal variable AI awareness levels across different domains, with younger demographics exhibiting notably lower awareness in several areas. Regression analysis highlighted that awareness is significantly associated with gender, age, and education level. Regression analysis showed that males, younger age groups and those with higher levels of education were more likely to correctly answer majority of questions about the role of AI in everyday life. These insights are crucial for stakeholders aiming to enhance AI literacy, tailor communication strategies, and develop digital platforms, offering guidance for policymakers and market analysts in optimizing AI-related initiatives.
Źródło:
Oeconomia Copernicana; 2024, 15, 2; 367-406
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence toolsin simulation and optimization of production systems
Autorzy:
Škorík, P.
Gregor, M.
Štefanik, A
Powiązania:
https://bibliotekanauki.pl/articles/118145.pdf
Data publikacji:
2009
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
simulation of production systems
optimalization
genetic algorithms
Opis:
This article deals with solution developed as a cooperation of Industrial engineering department, University of Žilina and Central European Institute of Technology (CEIT SK). Proposed solution involves simulation with support of virtual reality for searching of engineer-accepted manufacturing system state (so called "optimal"). Article includes basic information about evolution methods and genetic algorithms. Authors own algorithm, which is based on use of genetic algorithm, is used for optimization. Outcomes compares the speed of convergence of chosen Witness optimization algorithms and authors-developed algorithm. Comparison is presented on project from industrial praxis.
Źródło:
Applied Computer Science; 2009, 5, 2; 42-57
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence in medical diagnosis of some brain dysfunctions
Autorzy:
Ciota, Z.
Napieralski, A.
Powiązania:
https://bibliotekanauki.pl/articles/397907.pdf
Data publikacji:
2015
Wydawca:
Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
Tematy:
speech analysis
formant analysis
artificial neural networks
brain dysfunction
stroke
olfactory system
analiza mowy
analiza formantowa
sztuczne sieci neuronowe
zaburzenie czynności mózgu
udar mózgu
układ węchowy
Opis:
The paper presents an analysis of objective evaluation of speech quality. As an example, the recovering process after stroke for patients with vascular lesion of a central nervous system has been taken into account. Application of neural networks gives possibility for objective evaluation of speech quality of patient suffering from disorder of speech motor.
Źródło:
International Journal of Microelectronics and Computer Science; 2015, 6, 1; 1-5
2080-8755
2353-9607
Pojawia się w:
International Journal of Microelectronics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence in solving collision problem in restricted area
Autorzy:
Mąka, M.
Dramski, M.
Powiązania:
https://bibliotekanauki.pl/articles/359349.pdf
Data publikacji:
2013
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
shortest path
safe route
restricted area
trapezoidal grid
area discretization
simplified ant algorithm
A* algorithm
Opis:
This paper presents one of the approaches to solve the collision problem in restricted area for two moving objects using artificial intelligence (SACO algorithm). Although AI should be used only when the classic methods fail, a simple comparison between them is very interesting. As we know the main task of navigation is to conduct safely an object from the point of departure to destination. This problem does not seem easy, especially if we consider the movement in restricted areas such narrow passages, ports etc.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2013, 36 (108) z. 2; 118-122
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recycling-oriented eco-design methodology based on decentralised artificial intelligence
Autorzy:
Dostatni, E.
Powiązania:
https://bibliotekanauki.pl/articles/406989.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
eco-design
methodology
decentralised artificial intelligence
agent-based technology
Opis:
In recent years, due to the growing importance of eco-design and tightening EU regulations entrepreneurs are required to implement activities related to environmental protection. It influences the development of methods and tools enabling the implementation of eco-design into practice, which are increasingly used by modern information technologies. They are based on intelligent solutions that allows them to better match the requirements of designers and allows for the automation of processes, and in some cases they are able to do the work themselves, replacing designers. Details are useful in areas that require calculations, comparisons and making choices, which is the process of eco-design. The paper describes methodology of pro-ecological product design oriented towards recycling, based on agent technology, enables the design of environmentally friendly products including recycling. The description of the methodology was preceded by a literature analysis on the characteristics of tools supporting eco-design and the process of its development was presented. The proposed methodology can be used at the design stage of devices to select the best product in terms of ecology. It is based on the original set of recycling indicators, used to evaluate the recycling of the product, ensure the ability to operate in a distributed design environment, and the use of data from various CAD systems, allows full automation of calculations and updates (without user participation).
Źródło:
Management and Production Engineering Review; 2018, 9, 3; 79-89
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sztuczna inteligencja w diagnostyce technicznej
Artificial intelligence in technical diagnostics
Autorzy:
Żółtowski, B.
Powiązania:
https://bibliotekanauki.pl/articles/329332.pdf
Data publikacji:
2005
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
sztuczna inteligencja
diagnostyka techniczna
systemy ekspertowe
artificial intelligence
technical diagnostics
expert systems
Opis:
W referacie omówiono główne przesłanki stosowania metod sztucznej inteligencji w diagnostyce technicznej. Szczególną rolę przypisano systemom ekspertowym wspomagającym proces wnioskowania diagnostycznego. Pozyskiwanie wiedzy do systemu ekspertowego często jest możliwe tylko od ekspertów. W tej pracy wskazano na statystyczne podejście w ustalaniu liczby, wiarygodności i zgodności ekspertów.
It in report was has talked over cardinal of usage the methods artificial premise intelligence in technical diagnostics. Systems were attributed special part expert helping process diagnostic inference. Logging to system knowledge it expert is possible only often from experts. It was showed here on statistical approach in settlement number experts and them compatibility and credibility.
Źródło:
Diagnostyka; 2005, 33; 185-192
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
People tracking in video surveillance systems based on artificial intelligence
Autorzy:
Nasry, Abir
Ezzahout, Abderrahmane
Omary, Fouzia
Powiązania:
https://bibliotekanauki.pl/articles/27314232.pdf
Data publikacji:
2023
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
person tracking
person detection
person identification
video surveillance
artificial intelligence
Opis:
As security is one of the basic human needs, we need security systems that can prevent crimes from happen‐ ing. In general, surveillance videos are used to observe the environment and human behavior in a given location. However, surveillance videos can only be used to record images or videos, without additional information. There‐ fore, more advanced cameras are needed to obtain other additional information such as the position and move‐ ment of people. This research extracted this information from surveillance video footage using a person tracking, detection, and identification algorithm. The framework for these is based on deep learning algorithms, a popu‐ lar branch of artificial intelligence. In the field of video surveillance, person tracking is considered a challenging task. Many computer vision, machine learning, and deep learning techniques have been developed in recent years. The majority of these techniques are based on frontal view images or video sequences. In this work, we will compare some previous work related to the same topic.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2023, 17, 1; 59--68
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Green Supply Chain Management based on Artificial Intelligence of Everything
Autorzy:
Nozari, Hamed
Powiązania:
https://bibliotekanauki.pl/articles/33317069.pdf
Data publikacji:
2024
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
green supply chain
sustainable supply chain
Artificial Intelligence of Everything (AIoE)
AIoE-based supply chain
Opis:
Aim/purpose - This research aims to design an analytical framework to investigate the dimensions, factors, and key indicators affecting the green supply chain based on the innovative technology of Artificial Intelligence of Everything (AIoE). Understanding the cause-and-effect relationships of all actors in this smart and sustainable system is also one of the critical goals of this research. Also, examining the key features of AIoE technology as a new hybrid technology is one of this research's most essential features. Design/methodology/approach - This research has tried to extract and refine the most critical parameters affecting the green supply chain based on technology by reviewing the literature and examining the opinions of active experts in the field of study. Then, by using the focus group, it has been tried to provide an analytical framework to express the cause-and-effect relationships of all actors active in this system by examining the basic features of AIoE. Finally, this framework was validated and approved using experts' opinions and the focus group, emphasizing integrity, comprehensiveness, and effectiveness. Findings - This research identified the dimensions, components, and indicators affecting the smart, green, and sustainable supply chain based on Artificial Intelligence (AI). It also presented an analytical framework that shows the cause-and-effect relationships of all active actors in this system. Research implications/limitations - This research simultaneously offers significant insights into implementing intelligent and sustainable process-oriented systems. However, it is important to note the limitations. One of the most significant challenges in presenting the framework was finding experts with sufficient awareness, knowledge, and experience and participants to analyze cause-and-effect relationships. Originality/value contribution - This research provides a practical analysis of AIoE technology for the first time. The results strongly support the argument that hybrid AIoE technology can tremendously impact the sustainability and greenness of supply chain processes.
Źródło:
Journal of Economics and Management; 2024, 46; 171-188
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence technique for planning duties in hospital - preliminary results
Autorzy:
Norberciak, M.
Powiązania:
https://bibliotekanauki.pl/articles/333684.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
planowanie
algorytmy ewolucyjne
time-table
scheduling
evolutionary algorithms
Opis:
Scheduling doctors duties in a hospital are complicated and time-consuming tasks. The person responsible for creating a duty timetable is facing one major problem when allocating doctors to time periods: the agreement between several constraining (and often mutually excluding) requirements must be found. In this paper a solution methodology for the monthly duty assignment of doctors is presented. The typical problem is described in detail, along with specific hospital environment, from which datasets for experiments have been taken. A hybrid approach that utilizes strengths of a few artificial intelligence techniques was used to solve the problem. In particular, a population of initial solutions is generated heuristically and then improved using evolutionary algorithm. Experimental results are presented along with a discussion on the computational efficiency, operational acceptability and quality of the solutions.
Źródło:
Journal of Medical Informatics & Technologies; 2004, 7; KB83-90
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence and virtual environment application for materials design methodology
Autorzy:
Dobrzański, L.A.
Honysz, R.
Powiązania:
https://bibliotekanauki.pl/articles/99990.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
materials design
mechanical properties
virtual environment
modelling
Opis:
The purpose of this study is to develop a methodology for material design. This methogology will enabling the selection of production descriptors to ensure the required mechanical properties of structural steels specified by the designer of machinery and equipment. The selection is performed by using a computational model developed with use of artificial intelligence methods and virtual environment. The model is designed to provide impact examinations of these factors on the mechanical properties of steel only in the computing environment. Virtual computing environment allows full usage of the developed intelligent model of non-alloy and alloy structural steel properties and provides an easy, intuitive and user-friendly way to designate these properties for products after heat and plastic treatment. Also, very easy is the determination of chemical composition, treatment conditions and geometric dimensions on the basis of the steels mechanical properties. The proposed solutions allow the usage of developed virtual environment as a new medium in both, the scientific work performed remotely, as well as in education during classes. It is also possible the extension of this model to other groups of materials, not just for steel.
Źródło:
Journal of Machine Engineering; 2011, 11, No. 1-2; 102-119
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automation and artificial intelligence – boon or bane: a humanistic perspective
Autorzy:
Subramanyam, N.
Patagundi, B.
Powiązania:
https://bibliotekanauki.pl/articles/393022.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
artificial intelligence
automation
interface between human and artificial intelligence
benefits
challenges
sztuczna inteligencja
automatyka
połączenie człowiek-sztuczna inteligencja
korzyści
wyzwania
Opis:
The role of Artificial Intelligence and Automation has evolved dramatically and exponentially in recent times and there is a great deal of debate on the impact of this on society in general. This paper essentially presents perspectives to examine the role of Artificial Intelligence and it’s economic and social impact to assess the effects of the growth of this technology on the human race and also examine the various opportunities and challenges that Artificial Intelligence could bring about. The paper attempts to study the impact of Artificial Intelligence and Automation on the jobs landscape and summarizes the challenges which policy makers would have to deal with to harmonize the growth of technology and its societal impact.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2018, 4; 151-158
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence in technical diagnostics
Sztuczna inteligencja w diagnostyce technicznej
Autorzy:
Korbicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/327534.pdf
Data publikacji:
2008
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
detekcja uszkodzeń
odporność
próg adaptacyjny
sieć neuronowa
sieć neuronowo-rozmyta
programowanie genetyczne
diagnostyka techniczna
fault detection
robustness
adaptive threshold
neural networks
neuro-fuzzy networks
genetic programming
technical diagnostics
Opis:
The paper deals with the problems of robust fault detection using soft computing techniques, particularly neural networks (Group Method of Data Handling, GMDH), neuro-fuzzy networks (Takagi-Sugeno (T-S) model) and genetic programming. The model-based approach to Fault Detection and Isolation (FDI) is considered. The main objective is to show how to employ the bounded-error approach to determine the uncertainty defined as a confidence range for the model output, the adaptive thresholds can be defined. Finally, the presented approaches are tested on a servoactuator being an FDI benchmark in the DAMADICS project.
W artykule rozpatruje się problemy odpornej detekcji uszkodzeń z wykorzystaniem technik obliczeń inteligentnych, a w szczególności sieci neuronowych (Group Method of Data Handling, GMDH), sieci neuronowo-rozmytych (model Takagi-Sugeno) oraz programowania genetycznego. Rozpatruje się układ detekcji i lokalizacji uszkodzeń z modelem. Głównym celem jest pokazanie jak zastosować metodę ograniczonego błędu do wyznaczenia niepewności modeli neuronowych i rozmytych. Pokazano, że korzystając z wyznaczonych niepewnych modeli obliczeń inteligentnych zdefiniowanych w postaci przedziałów ufności dla wyjścia modelu można zdefiniować adaptacyjny próg decyzyjny. W ostatniej części efektywność rozpatrywanych podejść ilustrowana jest na przykładzie układu diagnostyki inteligentnego urządzenia siłownik-ustawnik-zawór z projektu DAMADICS.
Źródło:
Diagnostyka; 2008, 2(46); 7-16
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł

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