Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Artificial intelligence (AI)" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 60
Tytuł:
Managing Human Capital with AI: Synergy of Talent and Technology
Autorzy:
Bashynska, Iryna
Prokopenko, Olha
Sala, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/21968603.pdf
Data publikacji:
2023-09-30
Wydawca:
Wyższa Szkoła Finansów i Prawa w Bielsku-Białej
Tematy:
Artificial Intelligence (AI)
HR management
Talent Management
Opis:
The article explores how integrating artificial intelligence in human capital management can create a powerful synergy between human talent and cutting-edge technology. It delves into the ways in which AI is transforming the HR landscape, from recruitment and onboarding to employee development and retention. The article discusses the benefits of using AI-driven tools and strategies to enhance talent acquisition, workforce productivity, and employee satisfaction. The strategic advantages of AI-driven human capital management are evident from agile workforce planning and talent acquisition optimization to dynamic performance management and data-driven decision-making. The ability to continuously adapt to market changes, streamline processes, and provide personalized learning and development opportunities enhances an organization's resilience and competitiveness in a fast-paced and uncertain business environment. Moreover, the amalgamation of AI and human capital management is a technological advancement and a strategic imperative. It empowers organizations to harness the synergy of talent and technology, positioning them for a smarter, more agile, and prosperous future. As the digital age continues to unfold, this strategic merger will be central to unlocking the full potential of human capital in organizations and achieving a sustainable and competitive edge in the modern workplace.
Źródło:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2023, 27, 3; 39-45
2543-9103
2543-411X
Pojawia się w:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
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:
Unveiling AI’s Existential Threats and Societal Responsibilities
Autorzy:
Baumberger, Jessica
Powiązania:
https://bibliotekanauki.pl/articles/31233775.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN
Tematy:
Artificial Intelligence (AI)
open-source AI
AI ethics
AI transparency
AI Education
Opis:
Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to foster both innovation and ethical considerations. Collaborative efforts among academia, industry, and policymakers are essential for addressing the multifaceted complexities that AI presents. While AI promises transformative benefits, potential challenges, such as its weaponization, corporate exploitation, and job displacement, warrant careful attention. Striking a balance between regulation with innovation is critical. Academic institutions can play a pivotal role, guiding AI’s trajectory, nurturing interdisciplinary learning, and equipping future professionals. Embracing open-source AI can ensure its ethical use and mitigate the risks associated with its exploitation. The existential threats posed by AI are significant, yet with strategic collaboration and foresight, a bright, AI-driven future is within reach.
Źródło:
Filozofia i Nauka; 2023, 11; 65-79
2300-4711
2545-1936
Pojawia się w:
Filozofia i Nauka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Relationship Between Artificial Intelligence, Human Communication and Ethics. A Futuristic Perspective: Utopia or Dystopia?
Autorzy:
Pelea, Crînguța Irina
Powiązania:
https://bibliotekanauki.pl/articles/526502.pdf
Data publikacji:
2019
Wydawca:
Univerzita sv. Cyrila a Metoda. Fakulta masmediálnej komunikácie
Tematy:
Artificial Intelligence (AI)
Ethics. Robots
Communication. Challenges
Utopia
Dystopia
Opis:
In today’s society, Artificial Intelligence is continuously evolving, with remarkable speed and it has a considerable impact on the community as a whole, starting with medicine, education, industry, and it affects communication in human relations. Once one can no longer deny this technological advancement with many implications on our lives, a new topic of discussion and academic research arises: to what extent will it be necessary to redefine the parameters of communication and the relationships between the individual, the group, the society, and the Artificial Intelligence. The present research tackles several problematic aspects related to AI in the present and some that may arise in the near future when robots will probably become a commodity. First, the author will investigate the communication relationship between AI and the individual, now, given the fact that the excessive use of technology recalibrates and reformulates the way one perceives and envisages the harmony and the efficiency of the communication process. Second, the connection between AI and ethics is another topic of high interest now, and even though the flourishing development of AI supposedly has as a mission the benefit of humankind, many ethical dilemmas keep arising and feed collective social anxiety, while no satisfying and consistent solutions seem to be found. Globalisation and technological progress mark another turning point for contemporary society, which witnesses an unforeseen academic impasse of knowledge, meaning that it is prone to reconfigure stable academic disciplines and to estimate the emergence of new ones, dictated by post-contemporary global necessities. For example, the ethics of robots or AI has high chances to become a well-established academic discipline soon, given the present turbulent and dynamic technological context, constantly shaping humanity’s life. Considering the future implications of ethical and communication nature becomes a stringent necessity even at its earliest stages, not only for researchers of various departments and ethics committees but also for governments, corporations, and other industry branches. Therefore, creating and engraving a culture of social responsibility towards AI represents one of the most difficult challenges of our times, and finding the balance will make the difference between utopia and dystopia, where AI is a miracle... or an evil.
Źródło:
Media Literacy and Academic Research; 2019, 2, 1; 38-48
2585-8726
Pojawia się w:
Media Literacy and Academic Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
PREDICTING THE MENTAL STRESS LEVEL OF DRIVERS IN A BRAKING CAR PROCESS USING ARTIFICIAL INTELLIGENCE
Autorzy:
Sugiono, Sugiono
Prasetya, Renaldi P
Fanani, Angga A
Cahyawati, Amanda N
Powiązania:
https://bibliotekanauki.pl/articles/2138164.pdf
Data publikacji:
2022-02-23
Wydawca:
Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
Tematy:
Artificial intelligence (AI)
Electroencephalogram (EEG)
safety distance
transportation safety
mental stress
Opis:
Reducing the physical and mental weariness of drivers is significant in improving healthy and safe driving. This paper is aim to predict the stress level of drivers while braking in various conditions of the track. By discovering the drivers’ mental stress level, we are able to safely and comfortably adjust the distance in relation to the vehicle ahead. The initial step used was a study related to Artificial Intelligence (AI), Electroencephalogram (EEG), safe distance in braking, and the theory of mental stress. The data was collected by doing a direct measurement of drivers’stress levels using the EEG tool. The respondents were 5 parties around 30-50 years old who had experience in driving for> 5 years. The research asembled 400 pieces of data about braking including the data of the velocity before braking, track varieties (cityroad, rural road, residential road, and toll road), braking distance, stress level (EEG), and focus (EEG). The database constructed was used to input the machine learning (AI) – Back Propagation Neural Network (BPNN) in order to predict the drivers’ mental stress level. Referring to the data collection, each road type gave a different value of metal stress and focus. City road drivers used an average velocity of 23.24 Km/h with an average braking distance of 11.17 m which generated an average stress level of 53.44 and a focus value of 45.76.Under other conditions, city road drivers generated a 52.11 stress level, the rural road = 48.65, and 50.23 for the toll road. BPNN Training with 1 hidden layer, neuron = 17, ground transfer function, sigmoid linear, and optimation using Genetic Algorithm (GA) obtained the Mean Square Error (MSE) value = 0.00537. The road infrastructure, driving behavior, and emerging hazards in driving took part in increasing the stress level and concentration needs of the drivers. The conclusion may be drawn that the available data and the chosen BPNN structure were appropriate to be used in training and be utilized to predict drivers’ focus and mental stress level. This AI module is beneficial in inputting the data to the braking car safety system by considering those mental factors completing the existing technical factor considerations.
Źródło:
Acta Neuropsychologica; 2022, 20(1); 1-15
1730-7503
2084-4298
Pojawia się w:
Acta Neuropsychologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review
Autorzy:
Cramarenco, Romana Emilia
Burcă-Voicu, Monica Ioana
Dabija, Dan Cristian
Powiązania:
https://bibliotekanauki.pl/articles/19901816.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
artificial intelligence (AI)
employees
skills
digital skills
upskilling
reskilling
well-being
Opis:
Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose of the article: The objective of this paper is to develop a systematic review of the relevant literature to identify the effects of technological change, especially the adoption of AI in organizations, on employees’ skills (professional dimension) and well-being (personal dimension). Methods: To implement the research scope, the authors relied on Khan's five-step methodology, which included a PRISMA flowchart with embedded keywords for selecting the appropriate quantitative data for the study. Firstly, 639 scientific papers published between March 2020 to March 2023 (the end of the COVID-19 pandemic according to the WHO) from Scopus and Web of Science (WoS) databases were selected. After applying the relevant procedures and techniques, 103 articles were retained, which focused on the professional dimension, while 35 papers were focused on the personal component. Findings & value added: Evidence has been presented highlighting the difficulties associated with the ongoing requirement for upskilling or reskilling as an adaptive reaction to technological changes. The efforts to counterbalance the skill mismatch impacted employees' well-being in the challenging pandemic times. Although the emphasis on digital skills is widely accepted, our investigation shows that the topic is still not properly developed. The paper's most significant contributions are found in a thorough analysis of how AI affects workers' skills and well-being, highlighting the most representative aspects researched by academic literature due to the recent paradigm changes generated by the COVID-19 pandemic and continuous technological disruptions.
Źródło:
Oeconomia Copernicana; 2023, 14, 3; 731-767
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Digital Knowledge Integration (DKI): When Transhumanism (H+) Meets Digital Humanities (DH)
Autorzy:
Yohanna, Joseph, Waliya,
Powiązania:
https://bibliotekanauki.pl/articles/890529.pdf
Data publikacji:
2020-10-12
Wydawca:
Akademia Pedagogiki Specjalnej im. Marii Grzegorzewskiej. Wydawnictwo APS
Tematy:
Digital Knowledge Integration (DKI)
Transhumanism (H+)
Digital Humanities (DH)
Big Data
Digitalization
Society
Internet
Artificial Intelligence (AI)
Opis:
To a large extent, the world has come to embrace digitalization which currently permeates all human endeavors and life. However, the process of digitalizing human beings themselves, making them Transhuman and allowing the integration of the digital into every aspect of our daily life has made life both paradoxically appreciative and problematic as it increases the global nature of humanity and its endeavors, posing threats as well as benefits. Merging Transhumanism (H+) with the Digital Humanities (DH) may minimize those threats but the dual evolving human-technological thoughts have been hoofing at a distance to each other for decades whereas innately they share the same perceptions on the future of the digitalization and human beings. This paper is channeled towards breaking the barriers between the two through the help of the critical comparative lens from the conceptual theoretical framework called Digital Knowledge Integration (DKI) using hypothetic-deductive method of reading two e-literatures: Digital_Humanities by Anne Burdick, Johanna Drucker, Peter Lunenfeld, Todd Presner & Jeffrey Schnapp published in 2012 and The Transhumanist Reader: Classical and Contemporary Essays on the Science. Technology, and Philosophy of Human Future edited by Max More and Natasha Vita-More in 2013 including other literatures as we need them. This research is also aimed at integrating knowledge into singular model and raising scholarly debates on the new development.
Źródło:
International Journal of Pedagogy, Innovation and New Technologies; 2020, 7(1); 39-49
2392-0092
Pojawia się w:
International Journal of Pedagogy, Innovation and New Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The main challenges and barriers to the successful “smart shipping”
Autorzy:
Alop, A.
Powiązania:
https://bibliotekanauki.pl/articles/116779.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
smart shipping
maritime affairs
intelligent ship
no records
autonomous ship
cyber security
artificial intelligence (AI)
SWOT analyze
Opis:
As with the powerful digitalization of the world in the 21st century, maritime affairs, like all other areas, are facing not only new opportunities, but also new big challenges and problems. From the point of view of the development of new technologies, it seems that everything is possible, for example the bringing of so-called "intelligent ships" and “smart ports” into one global system on base of internet of things and big data applications. However, if to look at the matter further, a number of factors and obstacles may appear which could be major threats to the normal functioning of such a system. While it is clear that systems with such high degree of complexity are even technically vulnerable, it seems to the author of this paper that questions that are no less difficult are in the field of human relations. For example, when ships and ports are becoming more and more "smarter" and need less and less people to intervene in their interactions, who at the end will be responsible for everything that can and definitely will happened at sea or in the port? What about liability of cargo carrier if “carrier” is an autonomous ship without any person on-board during the entire journey? How to ensure cyber security? How to be secured against the risks of so-called artificial intelligence systemic errors? It is possible that only new non-trivial approaches can lead to acceptable results in this area, but what they may be and whether these approaches are possible at all - these questions are still waiting for answers.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 521-528
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
Autorzy:
Kliestik, Tomas
Nica, Elvira
Durana, Pavol
Popescu, Gheorghe H.
Powiązania:
https://bibliotekanauki.pl/articles/39987975.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
artificial intelligence (AI)
predictive maintenance (PM)
Industrial Internet of Things (IIoT)
time-sensitive networking (TSN)
big data
algorithmic decision-making
Opis:
Research background: The article explores the integration of Artificial Intelligence (AI) in predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses the increasing importance of leveraging advanced technologies to enhance maintenance practices in industrial settings. Purpose of the article: The primary objective of the article is to investigate and demonstrate the application of AI-driven PM in the IIoT. The authors aim to shed light on the potential benefits and implications of incorporating AI into maintenance strategies within industrial environments. Methods: The article employs a research methodology focused on the practical implementation of AI algorithms for PM. It involves the analysis of data from sensors and other sources within the IIoT ecosystem to present predictive models. The methods used in the study contribute to understanding the feasibility and effectiveness of AI-driven PM solutions. Findings & value added: The article presents significant findings regarding the impact of AI-driven PM on industrial operations. It discusses how the implementation of AI technologies contributes to increased efficiency. The added value of the research lies in providing insights into the transformative potential of AI within the IIoT for optimizing maintenance practices and improving overall industrial performance.
Źródło:
Oeconomia Copernicana; 2023, 14, 4; 1097-1138
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maszyny samouczące się – wyzwanie współczesnej pedagogiki
Machine Learning: a Challenge of Contemporary Pedagogy
Autorzy:
Flis, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/2149073.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet w Białymstoku. Wydział Pedagogiki i Psychologii
Tematy:
pedagogika sztucznej inteligencji
sztuczna inteligencja
pedagogika rzeczy
pedagogiczny pentagon
samouczenie się maszyn
artificial intelligence pedagogy (AIP)
artificial pedagogy (AP)
artificial intelligence (AI)
pedagogy of things
pedagogy pentagon
machine learning (ML)
Opis:
Artykuł podejmuje problematykę pedagogiki sztucznej inteligencji (AIP – artificial intelligence pedagogy) przybliżając jej znaczenie w kontekście problematyki związanej z big data i uczeniem maszynowym. Przedstawia zaproponowaną przez zespół J. Bieger, K.R. Thórisson i B.R. Steunebrink koncepcję pedagogicznego pentagonu, traktując jednocześnie propozycję pięciu podstawowych pojęć nowej teorii uczenia, zaproponowanych przez wymieniony zespół (uczniowie, środowisko zadaniowe, testowanie służące poznawaniu ucznia i jego postępów, szkolenie i nauczanie dotyczące ogólnej strategii, metod i narzędzi w AP – Artificial Pedagogy) jako punkt wyjścia do dyskusji o wprowadzeniu humanistycznego wymiaru do robotyki, czy rozwoju technologii sztucznej inteligencji. W tym celu wykorzystuje zaproponowaną przez A. Makowską i M. Chutorańskiego koncepcję pedagogiki rzeczy, ukazując jej potencjał wyjaśniający, jak i uwrażliwiający dla dalszego rozwoju pedagogiki sztucznej inteligencji.
The article discusses artificial intelligence pedagogy (AIP), focusing on its significance in the context of big data and machine learning. It presents the concept of pedagogy pentagon proposed by the team of J. Bieger, K.R. Thórisson and B.R. Steunebrink. It also refers to the proposal of five fundamental notions of the new teaching theory intro¬duced by the above team (students, task environment, testing aimed at getting to know students and their progress, training and teaching in the area of general strategy, AP methods and tools) as the starting point for discussions on the introduction of humanistic dimension to robotics or development of artificial intelligence technology. For that purpose, the article adopts the concept of pedagogy of things proposed by A. Makowska and M. Churotański, demonstrating its potential for the explanation and raising awareness for further development of artificial intelligence pedagogy.
Źródło:
Parezja. Czasopismo Forum Młodych Pedagogów przy Komitecie Nauk Pedagogicznych PAN; 2019, 1(11); 85-97
2353-7914
Pojawia się w:
Parezja. Czasopismo Forum Młodych Pedagogów przy Komitecie Nauk Pedagogicznych PAN
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations
Autorzy:
Dadi, Vasavi
Nikhil, Suryadevara Ram
Mor, Rahul S.
Agarwal, Tripti
Arora, Sapna
Powiązania:
https://bibliotekanauki.pl/articles/1839538.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:
technologie cyfrowe
przemysł rolno-spożywczy
innowacje
sztuczna inteligencja
internet przedmiotów
digital technologies
agri-food industry
innovations
artificial intelligence AI
internet-of-things (IoT)
Opis:
The agri-food sector contributes significantly to economic and social advancements globally despite numerous challenges such as food safety and security, demand and supply gaps, product quality, traceability, etc. Digital technologies offer effective and sustainable ways to these challenges through reduced human interference and improved data-accuracy. Innovations led by digital transformations in the agri-food supply chains (AFSCs) are the main aim of 'Agri-Food 4.0'. This brings significant transformations in the agri-food sector by reducing food wastage, real-time product monitoring, reducing scalability issues, etc. This paper presents a systematic review of the innovations in the agri-food for digital technologies such as internet-of-things, artificial intelligence, big data, RFID, robotics, blockchain technology, etc. The employment of these technologies from the ‘farm to fork’ along AFSC emphasizes a review of 159 articles solicited from different sources. This paper also highlights digitization in developing smart, sensible, and sustainable agri-food supply chain systems.
Źródło:
Production Engineering Archives; 2021, 27, 2; 75-89
2353-5156
2353-7779
Pojawia się w:
Production Engineering Archives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent autonomous ship navigation using multi-sensor modalities
Autorzy:
Wright, R.G.
Powiązania:
https://bibliotekanauki.pl/articles/117337.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
maritime autonomous surface ships (MASS)
artificial intelligence (AI)
intelligent autonomous ship navigation
autonomous ship
autonomous ships navigation
multiSensor modalities
unmanned ship
maritime domain awareness (MDA)
Opis:
This paper explores the use of machine learning and deep learning artificial intelligence (AI) techniques as a means to integrate multiple sensor modalities into a cohesive approach to navigation for autonomous ships. Considered is the case of a fully autonomous ship capable of making decisions and determining actions by itself without active supervision on the part of onboard crew or remote human operators. These techniques, when combined with advanced sensor capabilities, have been touted as a means to overcome existing technical and human limitations as unmanned and autonomous ships become operational presently and in upcoming years. Promises of the extraordinary capabilities of these technologies that may even exceed those of crewmembers for decision making under comparable conditions must be tempered with realistic expectations as to their ultimate technical potential, their use in the maritime domain, vulnerabilities that may preclude their safe operation; and methods for development, integration and test. The results of research performed by the author in specific applications of machine learning and AI to shipping are presented citing key factors that must be achieved for certification of these technologies as being suitable for their intended purpose. Recommendations are made for strategies to surmount present limitations in the development, evaluation and deployment of intelligent maritime systems that may accommodate future technological advances. Lessons learned that may be applied to improve safety of navigation for conventional shipping are also provided.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 503-510
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie gier skierowanych na cel do anotacji korpusów językowych
The applications of games with a purpose used for obtaining annotated language resources
Autorzy:
Włodarczyk, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/460019.pdf
Data publikacji:
2015
Wydawca:
Fundacja Pro Scientia Publica
Tematy:
gry skierowane na cel
GWAP
crowdsourcing
human computation
przetwarzanie języka naturalnego
sztuczna inteligencja, AI-zupełne
anotacja korpusu
Wordrobe
game with a purpose
natural language processing
artificial intelligence, AI-complete
corpus annotation
Opis:
Istnienie problemów AI-zupełnych przyczyniło się do poszukiwań alternatywnych sposobów rozwiązywania problemów sztucznej inteligencji, nie opartych wyłącznie na pracy komputera. Pomimo że komunikacja jest dla ludzi czymś oczywistym, nadal nie istnieje sposób jej automatyzacji. Aktualnie powszechnie stosowanym podejściem w rozwiązywaniu problemów NLP jest podejście statystyczne, którego powodzenie zależy od wielkości korpusu językowego. Przygotowanie rzetelnego zbioru danych jest zatem kluczowym aspektem tworzenia statystycznego systemu sztucznej inteligencji. Z uwagi na zaangażowanie specjalistów jest to proces czasochłonny i kosztowny. Jednym z obiecujących podejść, pomagających zredukować czas i koszt tworzenia otagowanego korpusu, jest korzystanie z gier skierowanych na cel. Ambicją niniejszej pracy jest przybliżenie poszczególnych etapów tworzenia gry przeznaczonej do pozyskania zasobów językowych oraz omówienie skuteczności jej działania. Analiza ta zostanie przeprowadzona na podstawie kolekcji gier Wordrobe wspierających anotacje korpusu języka naturalnego.
The existence of AI-complete problems has led to a growth in research of alternative ways of solving artificial intelligence problems, which are not based solely on the computer. Although for us communication is obvious, there is still no way automate it. The current widely-used approach to solving the problems of NLP is a statistical one, whose success depends on the size of the training corpus. The preparation of a reliable set of data is therefore a key aspect in creating an artificial intelligence statistical system. Due to the involvement of a large number of specialists this is a very time-consuming and expensive process. One promising approache in helping reduce the time and cost of creating a tagged corpus is the use of games with a purpose. The objective of this paper is to present the stages of creating games with a purpose used for obtaining annotated language resources and to discuss its effectiveness. This analysis will be done based on the Wordrobe project, a collection of games created to support the gathering of an annotated corpus of natural language.
Źródło:
Ogrody Nauk i Sztuk; 2015, 5; 112-220
2084-1426
Pojawia się w:
Ogrody Nauk i Sztuk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rozważenie możliwości zastąpienia sędziego przez sztuczną inteligencję w procesie analizowania wniosków o tymczasowe aresztowanie: perspektywy, wyzwania i potencjalne korzyści
Considering the Possibility of Replacing a Judge with Artificial Intelligence in the Process of Analyzing Requests for Pre-trial Detention: Perspectives, Challenges, and Potential Benefits
Autorzy:
Kulas, Ewelina
Powiązania:
https://bibliotekanauki.pl/articles/41533825.pdf
Data publikacji:
2024
Wydawca:
Fundacja PSC
Tematy:
Sztuczna inteligencja (AI)
Areszt tymczasowy
Procesy karne
Wyzwania prawne
Etyka
Profilowanie
Sądownictwo
Bezpieczeństwo danych
Praktyka sądowa
Artificial Intelligence (AI)
Pre-trial Detention
Criminal Processes
Legal Challenges
Ethics
Profiling
Judicary
Data Security
Court Practice
Opis:
The article titled „Considering the Possibility of Replacing Judges with Artificial Intelligence in the Process of Analyzing Requests for Pre-trial Detention: Perspectives, Challenges, and Potential Benefits” explores the potential of using artificial intelligence (AI) in the context of decisions on pre-trial detentions. It focuses on analyzing the controversy surrounding the practice of pre-trial detention, highlighting its negative perception among criminal law dogmatists and its inefficiency in light of the declining trend in crime rates. The article explains the prerequisites for the use of pre-trial detention according to Polish law, pointing out its abuses and automation. It presents a range of applications of AI in the legal sector, from data analysis to judicial decision support, indicating the possibilities for automating criminal processes and profiling the participants in the proceedings. It discusses the benefits of using AI, such as the elimination of human errors, acceleration of the decision-making process, and increased productivity. At the same time, it highlights challenges, including the risk of unemployment, capital intensity, limitations in creative thinking, privacy issues, and accountability. The article emphasizes the ethical aspects of replacing judges with AI, underscoring the need to maintain the humanistic dimension of justice and human participation in the decision-making process. The conclusion emphasizes the need for rigorous standards for AI systems in the judiciary, pointing to a pilot program in Shanghai as an example of AI integration in the adjudication process. The article concludes that while the use of AI in the judiciary offers numerous benefits, it must be approached with caution, ensuring appropriate legal and ethical frameworks.
Źródło:
Alcumena. Pismo Interdyscyplinarne; 2024, 1(17); 105-117
2719-9851
Pojawia się w:
Alcumena. Pismo Interdyscyplinarne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence in science and everyday life, its application and development prospects
Autorzy:
Słapczyński, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/19233635.pdf
Data publikacji:
2022-12-30
Wydawca:
Wyższa Szkoła Finansów i Prawa w Bielsku-Białej
Tematy:
Artificial Intelligence application
Rules of Artificial Intelligence
Artificial Intelligence programming
AI in business
AI in law
AI in Politics
Opis:
The main purpose of the article is to determine the impact of artificial intelligence on society and industry. What role the development of this technology will play on the economy and society in the future. The question should be asked: how will artificial intelligence affect society and what will be the effects of its increasingly widespread use and whether it poses any threats. The main methods used in the article are the analysis of scientific literature, synthesis of collected facts and knowledge obtained from official data, e.g. documentation of programming languages. The main conclusions from the paper is the growing importance of AI for society and its development, which will affect into various areas of life.
Źródło:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2022, 26, 4; 78-85
2543-9103
2543-411X
Pojawia się w:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 60

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies