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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
Tytuł:
Informed Consent for the Use of AI in the Process of Providing Medical Services
Autorzy:
Wałdoch, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/43539279.pdf
Data publikacji:
2024
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II
Tematy:
AI
informed consent
artificial intelligence
medical AI
Opis:
It has been for several years now that physicians use medical devices based on artificial intelligence (AI) in their professional practice. The use of these tools makes health services more personalized, tailored to the individual characteristics and needs of the patient. There is also a technological possibility for AI systems to provide patients with information regarding their health condition and treatment methods. The use of medical devices equipped with AI creates new types of risk, including the risk of algorithmic error, the risk of cyber-attack, and the risk of algorithmic mismatch (false-positive or false-negative results). Most patients do not know these tools, so not everyone will trust them. Obtaining informed consent from the patient is a necessary condition for any medical intervention. This study attempts to answer the following questions: (1) Is there a legal possibility to provide AI with the ability to inform the patient about their health condition and proposed treatment methods?; (2) Does the unpredictability and opacity of AI behavior affect the scope of information that should be provided to the patient before medical intervention?; (3) What information should the physician provide to the patient for this consent to be considered informed?; (4) Should the patient always be informed that AI was involved in the diagnosis or therapeutic process? The presented study uses comparative law methodology. American, Belgian and German law are analysed. Is there a legal possibility to provide AI with the ability to inform the patient about his health condition and proposed treatment methods? Does the unpredictability and opacity of AI behavior, affect the scope of information that should be provided to the patient before medical intervention? What information should the physician provide to the patient for this consent to be considered informed? Should the patient always be informed that an AI was involved in the diagnosis or therapeutic process? The comparative law methodology was used in this study. American, Belgian and German law were analyzed.
Źródło:
Review of European and Comparative Law; 2024, 57, 2; 121-134
2545-384X
Pojawia się w:
Review of European and Comparative Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Governance in Ethical and Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP
Autorzy:
Agbese, Mamia
Alanen, Hanna-Kaisa
Antikainen, Jani
Erika, Halme
Isomaki, Hannakaisa
Jantunen, Marianna
Kemell, Kai-Kristian
Rousi, Rebekah
Vainio-Pekka, Heidi
Vakkuri, Ville
Powiązania:
https://bibliotekanauki.pl/articles/2203948.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
AI
artificial intelligence
AI ethics
trustworthy AI
AI governance
adaptive governance
ECCOLA
Opis:
Background: The continuous development of artificial intelligence (AI) and increasing rate of adoption by software startups calls for governance measures to be implemented at the design and development stages to help mitigate AI governance concerns. Most AI ethical design and development tools mainly rely on AI ethics principles as the primary governance and regulatory instrument for developing ethical AI that inform AI governance. However, AI ethics principles have been identified as insufficient for AI governance due to lack of information robustness, requiring the need for additional governance measures. Adaptive governance has been proposed to combine established governance practices with AI ethics principles for improved information and subsequent AI governance. Our study explores adaptive governance as a means to improve information robustness of AI ethical design and development tools. We combine information governance practices with AI ethics principles using ECCOLA, a tool for ethical AI software development at the early developmental stages. Aim: How can ECCOLA improve its robustness by adapting it with GARP® IG practices? Methods: We use ECCOLA as a case study and critically analyze its AI ethics principles with information governance practices of the Generally Accepted Recordkeeping principles (GARP®). Results: We found that ECCOLA’s robustness can be improved by adapting it with Information governance practices of retention and disposal. Conclusions: We propose an extension of ECCOLA by a new governance theme and card, # 21.
Źródło:
e-Informatica Software Engineering Journal; 2023, 17, 1; art. no. 230101
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is medicine ready for ChatGPT – why not just ask ChatGPT?
Autorzy:
Rodigin, Anthony
Powiązania:
https://bibliotekanauki.pl/articles/2203249.pdf
Data publikacji:
2023-06-07
Wydawca:
Gdański Uniwersytet Medyczny
Tematy:
ChatGPT
artificial intelligence
AI
medicine
medical education
Opis:
Vol. 6
Źródło:
European Journal of Translational and Clinical Medicine; 2023, 6, 1; 5-8
2657-3148
2657-3156
Pojawia się w:
European Journal of Translational and Clinical Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The specificity of Polish and Israeli start-ups utilizing modern ict technologies
Autorzy:
Marzec, Patrycja
Sliż, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2033037.pdf
Data publikacji:
2020
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
startup
artificial intelligence
AI
organization
ICT
sztuczna inteligencja
SI
Opis:
Introduction/background: The research problem was formulated by asking two research questions (RQ): RQ1: What are the similarities and differences in startup activity as observed in Poland and Israel? RQ2: What characteristics of a startup allow it to be treated as an AI-organisation? The conducted literature review allowed us to identify a certain cognitive gap (CG). CG1: There are few study reports discussing the characteristics of the European market of startups utilizing modern technologies. The study was conducted in 2018-2019. Aim of the paper: The main goal of the article is to present the results of a comparative analysis of Polish startups with Israeli organizations using artificial intelligence technology (AI startups). This main goal sets the focus on the respective partial epistemological aims. TA1: To determine the current state of knowledge about the characteristics of startups in Poland and AI startups in Israel. TA2: To try and define the term AI startup. Materials and methods: The research methods employed in implementing the formulated goals included: quantitative bibliometric analysis, systematic and critical review of the subject literature, text analysis and comparative analysis. Results and conclusions: It was noticed that clear differences can be observed between the analyzed markets, especially in terms of the number of AI startups. In addition, an attempt was made to define the concept of an AI startup, and the determinants of AI startups were also presented. In conclusion, the authors set the direction for further research, which would be based on expanding the observation of a broader spectrum of AI startups in other European and American markets.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2020, nr 2; 99-112
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modele i warunki rozwoju etyki sztucznej inteligencji w biznesie
Models and conditions for the development of ethics of artificial intelligence by business
Autorzy:
Sroka, Robert
Powiązania:
https://bibliotekanauki.pl/articles/468607.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN
Tematy:
etyka sztucznej inteligencji
etyka biznesu
AI
sztuczna inteligencja
ethics of Artificial Intelligence
business ethics
Artificial Intelligence
Opis:
Biznes odgrywa dominującą rolę w rozwoju produktów i usług wykorzystujących sztuczną inteligencję. Wyzwaniem jest zapewnienie, aby takie produkty i usługi były etyczne. Trudność zmierzenia się z tym zadaniem wynika z faktów, że (a) proces ich rozwoju jest nietransparentny; (b) nie zawsze firmy chcą brać udział w dyskusji na temat etyki sztucznej inteligencji oraz stosować się do jej wyników; (c) nowość zagadnienia powoduje, że rezultaty tych dyskusji nie powstają szybko i nie są praktyczne. Celem artykułu jest wskazanie różnych modeli etyki sztucznej inteligencji rozwijanych przez biznes, a także warunków i problemów, jakie łączą się z tym zadaniem. Pokazano w jaki sposób biznes odpowiada na wyzwania etyczne spowodowane przez zjawisko rozwoju sztucznej inteligencji. Omówiono również odpowiedź, jakiej na te wyzwania udzieliła Grupa Robocza Wysokiego Szczebla powołana przez Komisję Europejską do wypracowania kodeksu etyki sztucznej inteligencji.
Business plays a dominant role in the development of products and services based on Artificial Intelligence (AI). The challenge is to ensure that products and services based on AI are ethical. The difficulty in dealing with this task stems from the facts that: a. the process of development is not transparent; b. companies do not always want to take part in discussionson the ethics of artificial intelligence and adhere to its results; c. the novelty of the issue causes that the results of these discussions do not arise quickly and are not practical. The aim of the article is to indicate the difficulty of conducting research on the ethics of AI developed by business. The article has been synthetically presented in what way business responds to ethical challenges brought about by the phenomenon of development of AI. The answer to these challenges was also given by the High-Level Working Group appointed by the European Commission to develop a code of artificial intelligence.
Źródło:
Prakseologia; 2019, 161; 271-290
0079-4872
Pojawia się w:
Prakseologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Scientist does not have to be Human?
Autorzy:
Szymborska, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/2041537.pdf
Data publikacji:
2020-12-31
Wydawca:
Collegium Civitas
Tematy:
Artificial Intelligence
Science
Scientist
Superintelligence
AI
Science Philosophy
New Technologies
Opis:
We, as humans appropriated science. A scientist is associated only with a human being. It doesn't have to stay that way. Non-protein scientists may appear sooner than expected. We will be challenged soon. A new legal and ethical code will be needed, and above all, a redefinition of the concepts of science and scientist seems to be urgent to formulate. The appearance of superintelligence and machines in science will mean the need to re-evaluate its operation. Let's start noticing the law of artificial intelligence (AI), to build inclusive science with machines.
Źródło:
Zoon Politikon; 2020, 11; 353-366
2543-408X
Pojawia się w:
Zoon Politikon
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Role of Personal Values in Forming the AI Ethics of Prospective Accountants
Autorzy:
Latifah, Lyna
Setiyani, Rediana
Arief, Sandy
Susilowati, Nurdian
Powiązania:
https://bibliotekanauki.pl/articles/29433365.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
Organizational values
personal values
moral intentions
AI
Artificial Intelligence
AI Ethics
Behavior Funding Statement
Opis:
This study aims to discuss how to form AI (Artificial Intelligence) ethical behavior with insight into the personal and organizational values of prospective accountants. This was a quantitative survey method. The sampling technique with a saturated sample was used as the research sample. Partial Least Square (PLS) analysis was conducted on 421 data points using WarpPLS software. The study results show that organizational and personal values significantly positively affect the intention of prospective accountant students to engage in AI ethics. Organizational values have a positive effect on the personal values of prospective accounting students. Intentions had a significant effect on AI ethics. Personal values did not play a role in mediating the impact of organizational values on intentions toward AI ethics. Intention succeeds in mediating the influence of personal values on the intention to engage in AI ethics among prospective accountant students. The findings referred to are very applicable to be implemented in different cultural settings due to the personal and organizational values tend to be implemented in general situation and condition. The findings provide universal outlook that values within organizations have an essential role in enhancing future accountants to be ethical in respect to AI.
Źródło:
Ethics in Progress; 2023, 14, 2; 90-109
2084-9257
Pojawia się w:
Ethics in Progress
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sztuczna inteligencja rozwój, szanse i zagrożenia
Autorzy:
Różanowski, K.
Powiązania:
https://bibliotekanauki.pl/articles/91296.pdf
Data publikacji:
2007
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
Sztuczna Inteligencja
silna Sztuczna Inteligencja
słaba Sztuczna Inteligencja
artificial intelligence
strong AI
weak AI
Opis:
Pojęcie „sztucznej inteligencji”, mimo powszechności używania tego terminu, nie jest łatwe do zdefiniowania. Wynika to przede wszystkim z braku jasnej i precyzyjnej definicji samej inteligencji. Występuje cały szereg różnych prób jej zdefiniowania. Po raz pierwszy termin „sztuczna inteligencja” został zaproponowany i zdefiniowany w roku 1955 przez Johna McCarthy’ego. Obecnie istnieją dwa podejścia do zagadnień sztucznej inteligencji. Podejście pierwsze, tzw. silna Sztuczna Inteligencja (strong AI) oraz podejście drugie – słaba Sztuczna Inteligencja (weak AI). Zainteresowanie zagadnieniami AI (ang. artificial intelligence) wielu różnych ośrodków na świecie przyniosło konkretne rezultaty, które znalazły już praktyczne i powszechne zastosowania. „Sztuczna inteligencja” w ostatnich latach staje się coraz bardziej popularna i częściej stosowana. Szybki rozwój elektroniki oraz informatyki sprzyja rozwojowi tej dziedziny nauki. „Inteligentne maszyny” są potrzebne człowiekowi do tworzenia i odkrywania nowych zależności w świecie, więc AI zaczyna docierać w inne obszary nauki takie jak medycyna, ekonomia czy zarządzanie. Sztuczna inteligencja jest jednym z bardziej interesujących kierunków rozwoju informatyki, która pochłania olbrzymią ilość ludzkiego zapału oraz najnowocześniejszych osiągnięć techniki komputerowej. W zakres sztucznej inteligencji wchodzą algorytmy, heurystyka, algorytmy genetyczne, systemy ekspertowe, sztuczne sieci neuronowe oraz logika rozmyta. Perspektywa powstania inteligentnych maszyn mogących samodzielnie myśleć i podejmować decyzje, wprowadza niepokój wśród ludzi. Obecnie nie da się wykluczyć niebezpiecznego wykorzystania tej technologii mogącej prowadzić do katastrofy, tak jak ma to miejsce w przypadku energii atomowej. Wydaje się, iż obawy dotyczące znacznego ograniczenia znaczenia czynnika ludzkiego są bezpodstawne i dopóki nie będzie jakichkolwiek przesłanek, iż ludzie będą kiedykolwiek w stanie stworzyć nie tylko maszynę inteligentną, ale również posiadającą świadomość i własną osobowość - nieuzasadnione.
The term „artificial intelligence”, despite its commonness, cannot be easily defined. It primarily results from the lack of clear and precise definition of intelligence itself. There were many different attempts of defining it. The term „artificial intelligence” was put forward and defined for the first time by John McCarthy in 1955. Currently, there are two approaches towards the issues related to artificial intelligence. The first approach, the so-called Strong AI (Artificial Intelligence), and the second approach – Weak AI. The interest in AI issues of many different research centers all over the world has brought concrete results that are now practically and commonly applied. Nowadays, „artificial intelligence” is becoming more and more popular and applicable. The rapid development of electronics and computer science is conducive for the development of this discipline. Human beings need “intelligent machines” to create and discover new relationships in the world; therefore, AI starts to reach new disciplines such as medicine, economy or management. Artificial intelligence is one of the most interesting trends in the development of computer science, which absorbs great amount of human zeal and the most advanced achievements of computer engineering. Algorithms, heuristics, genetic algorithms, expert systems, artificial neural networks, and fuzzy logic come within the scope of artificial intelligence. The prospect of the emergence of intelligent machines, which could think and make decisions independently, worries people. Currently, the hazardous usage of this technology, which could lead to a catastrophe, cannot be ruled out. The same situation occurs when it comes to nuclear power. It seems that these worries concerning considerable limitation of the significance of the human factor are off base, and as long as there are not any premises that people would ever be able to create a machine which is not only intelligent, but also conscious and individual, such worries are also unjustified.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2007, 2, 2; 109-135
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Platform-based support for AI uptake by SMEs: guidelines to design service bundles
Autorzy:
Gladysz, Bartlomiej
Matteri, Davide
Ejsmont, Krzysztof
Corti, Donatella
Bettoni, Andrea
Haber Guerra, Rodolfo
Powiązania:
https://bibliotekanauki.pl/articles/40424417.pdf
Data publikacji:
2023-12-15
Wydawca:
Akademia Leona Koźmińskiego w Warszawie
Tematy:
Artificial intelligence
Small and medium-sized enterprises
AI developers
AI platform guidelines
Digital innovation hubs
Opis:
Purpose – Manufacturing small and medium-sized enterprises (SMEs) have already noticed the tangible benefits offered by artificial intelligence (AI). Several approaches have been proposed with a view to support them in the processes entailed in this innovation path. These include multisided platforms created to enable the connection between SMEs and AI developers, making it easier for them to network each other. While such platforms are complex, they facilitate simultaneous interaction with several stakeholders and reaching out to new potential users (both SMEs and AI developers), through a collaboration with supporting ecosystems such as digital innovation hubs (DIHs). Design/methodology/approach – Mixed methods were used. The literature review was performed to identify the existing approaches within and outside the manufacturing domain. Computer-assisted telephonic (in-depth) interviewing, was conducted to include perspectives of AI platform stakeholders and collect primary data from various European countries. Findings – Several challenges and barriers for AI platform stakeholders were identified alongside the corresponding best practices and guidelines on how to address them. Originality/value – An effective approach was proposed to provide support to the industrial platform managers in this field, by developing guidelines and best practices on how a platform should build its services to support the ecosystem.
Źródło:
Central European Management Journal; 2023, 31, 4; 463-478
2658-0845
2658-2430
Pojawia się w:
Central European Management Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Piąta rewolucja przemysłowa. Eksplikacja pojęcia
The Fifth Industrial Revolution. Explication of the Concept
Autorzy:
FURMANEK, WALDEMAR
Powiązania:
https://bibliotekanauki.pl/articles/455306.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Rzeszowski
Tematy:
Rewolucje w technice
cechy rewolucji
technologie definiujące
inteligencja człowieka
sztuczna inteligencja
sprzężenie zwrotne
materiały inteligentne
chatboty
kaboty
roboty
upowszechnienie robotów
wyzwania dla edukacji
Revolutions in technology
features of the revolution
defining technologies
human intelligence
intelligential
artificial intelligence – AI
feedback and feed forward
smart materials
cobots, od collaborative robots
chatterbot (linguabot)
robots; dissemination of robots
challenges for education
Opis:
W artykule ukazuję miejsce obecnej, piątej rewolucji technicznej w procesie przemian cywili-zacji. Omawiam technologie definiujące każdej z nich. Piąta rewolucja przemysłowa to rewolucja w zastosowaniach sztucznej inteligencji w technologiach i przemyśle. Pytaniem podstawowym jest: jakie konsekwencje dla edukacji niesie upowszechnienia tych rozwiązań.
The article shows the place of the present, fifth technical revolution in the process of transfor-mation of civilization. I am discussing the technologies defining each of them. The fifth industrial revolution is a revolution in the applications of artificial intelligence in technologies and industry. The basic question is: what consequences for education brings about the dissemination of these solutions.
Źródło:
Edukacja-Technika-Informatyka; 2018, 9, 2; 275-283
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
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