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The twin transition : mapping the use of artificial intelligence in sustainability - The role of law and ethics ; Η δίδυμη μετάβαση : χαρτογράφηση της χρήσης της τεχνητής νοημοσύνης στη βιωσιμότητα - Ο ρόλος της νομοθεσίας και της δεοντολογίας
The purpose of the present thesis is to map the most important AI governance and policy implications along with the legislation produced, in order to provide a thorough analysis of the ethical and legal concerns that arise with mass production and utilisation of AI, and, finally, to examine the interplay between AI and environmental sustainability. Section 1 serves as an introduction to AI itself and an overview of the branches and approaches of AI, while Section 2 focuses on the regulatory and ethical implications of AI use. In Section 3, the risks and the benefits of harnessing the power of AI towards green transition are highlighted and practical examples of environmentally sustainable AI are given. It is concluded that if properly governed, digitalisation through AI could make a decisive contribution to the establishment of a sustainable, climate neutral economy and society. To this end, certain recommendations are made in Section 4 towards an ethical and legal nexus between AI and sustainability, which include harnessing the potential of regulatory sandboxes, ensuring climate mainstreaming into AI, promoting cross-sectoral consistency of policies and fostering collaboration between all actors of economy and society.
- University of Piraeus Greece
- University of Piraeus Greece
Environmental policy, Artificial intelligence, New technologies law, AI ethics, Sustainability, Climate change, Regulatory sandboxes
Environmental policy, Artificial intelligence, New technologies law, AI ethics, Sustainability, Climate change, Regulatory sandboxes
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
