Algorithmic Governance and Governance of Algorithms / Data Science, Machine Intelligence, and Law Bd.1 (PDF)
Legal and Ethical Challenges
(Sprache: Englisch)
Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole ("algorithmic governance"), which could potentially lead to manipulation, biases, censorship, social discrimination,...
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Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole ("algorithmic governance"), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more. This has sparked a global debate on how to regulate AI and robotics ("governance of algorithms"). This book discusses both of these key aspects: the impact of algorithms, and the possibilities for future regulation.
Autoren-Porträt
¿Martin Ebers is Professor of IT Law at the University of Tartu (Estonia) and permanent research fellow at the Humboldt University of Berlin. He is co-founder and president of the Robotics & AI Law Society (RAILS). In addition to research and teaching, he has been active in the field of legal consulting for many years. His main areas of expertise and research are IT law, private law, insurance law and European law. Marta Cantero Gamito is Associate professor of IT law at the University of Tartu and Assistant professor of Law at CUNEF (Madrid). She has worked at the University of Helsinki as research associate to an Academy of Finland project and at the London School of Economics (LSE), where she taught EU law. She obtained her PhD at the European University Institute (Florence), where she was a member of an ERC-funded project on European Regulatory Private Law. Her interests cover EU IT law and governance, Internet and telecommunications regulation, Internet-of-Things, Artificial intelligence, private regulation, and private law theory.
Bibliographische Angaben
- 2020, 1st ed. 2021, 167 Seiten, Englisch
- Herausgegeben: Martin Ebers, Marta Cantero Gamito
- Verlag: Springer International Publishing
- ISBN-10: 3030505596
- ISBN-13: 9783030505592
- Erscheinungsdatum: 08.10.2020
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- Grösse: 4.27 MB
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Sprache:
Englisch
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