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My, Naród? Konstytucjonalizacja sztucznej inteligencji, czyli o potrzebie przemodelowania założeń ustrojowych

100%
Księżak P.
Przegląd Sejmowy
|
2021
|
issue 4(165)
65-87
EN
The development of artificial intelligence raises many ethical and legal challenges. The discussion concerns mainly the issues of competition and consumer protection law, personal data protection law, civil liability, contract law, however the key issue, so far neglected in the literature, may be the problem of systemic nature connected with the question of the necessity to regulate AI at the constitutional level. Such a need arises from the recognition of the role that AI will soon play in the state and society. Safeguarding human rights will require the introduction of a fundamental norm that expresses the idea of the superior position of humans over machines (autonomous systems). However, such a seemingly obvious norm, understood literally, is not at all certain when superhuman efficiency (also intellectual) of machines is taken into account. As a consequence, such a norm – derived from human dignity – may stand in unresolvable opposition to the needs of the technological system. The search for a new constitutional model that responds to these challenges should begin today.
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The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

75%
Cramarenco R. E., Burcă-Voicu M. I., Dabija D. C.
Oeconomia Copernicana
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2023
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vol. 14
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issue 3
731-767
EN
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.
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