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The Cambridge handbook of responsible artificial intelligence : interdisciplinary perspectives / edited by Silja Voeneky, Philipp Kellmeyer, Oliver Mueller, Wolfram Burgard.

Contributor(s): Material type: TextTextPublisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022Description: 1 online resource (xix, 505 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781009207898 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 343.09/99 23/eng/20220630
LOC classification:
  • K564.C6 C3595 2022
Online resources:
Contents:
Artificial Intelligence - key technologies and opportunities / Wolfram Burgard -- Automating supervision of AI delegates / Jaan Tallinn and Richard Ngo -- Artificial moral agents - conceptual issues and ethical controversy / Catrin Misselhorn -- Risk imposition by artificial agents - the moral proxy problem / Johanna Thoma -- Artificial Intelligence and its integration into the human lifeworld / Christoph Durt -- Artificial Intelligence and the past, present and future of democracy / Mathias Risse -- The new regulation of the European Union on Artificial Intelligence - fuzzy ethics diffuse into domestic law and sideline international law / Thomas Burri -- Fostering the common good - an adaptive approach regulating high-risk AI-driven products and services / Thorsten Schmidt and Silja Voeneky -- China's normative systems for responsible AI - from soft law to hard law / Weixing Shen and Yun Liu -- Towards a global Artificial Intelligence Charter / Thomas Metzinger -- Intellectual debt - with great power comes great ignorance / Jonathan Zittrain -- Liability for Artificial Intelligence - the need to address both safety risks and fundamental rights risks / Christiane Wendehorst -- Forward to the past - a critical evaluation of the European approach to Artificial Intelligence in Private International Law / Jan von Hein -- Differences that make a difference -- computational profiling and fairness to individuals / Wilfried Hinsch -- Discriminatory AI and the law - legal standards for algorithmic profiling / Antje von Ungern-Sternberg -- Artificial Intelligence and the Right to Data Protection / Ralf Poscher -- Artificial Intelligence as a challenge for Data Protection Law - And Vice Versa / Boris Paal -- Data governance and trust - lessons from South Korean experiences coping with COVID-19 / Haksoo Ko, Sangchul Park and Yong Lim -- From corporate governance to algorithm governance - Artificial Intelligence as a challenge for corporations and their executives / Jan Lieder -- Autonomization and antitrust - on the construal of the cartel prohibition the light of algorithmic collusion / Stefan Thomas -- Artificial Intelligence in financial services - new risks and the need for more regulation? / Matthias Paul -- Medical AI - key elements at the international level / Fruzsina Molnár-Gábor and Johanne Giesecke -- "Hey Siri, how am i doing?" - legal challenges for Artificial Intelligence alter egos in healthcare / Christoph Krönke -- Neurorights - a human-rights based approach for governing neurotechnologies / Philipp Kellmeyer -- AI-supported brain-computer interfaces and the emergence of 'cyberbilities' / Boris Essmann and Oliver Mueller -- Artificial Intelligence, law and national security / Ebrahim Afsah -- Morally repugnant weaponry? Ethical responses to the prospect of autonomous weapons / Alex Leveringhaus -- On 'responsible AI' in war - exploring preconditions for respecting International Law in Armed Conflict / Dustin A. Lewis.
Summary: In the past decade, artificial intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. This book is also available as Open Access on Cambridge Core.
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Artificial Intelligence - key technologies and opportunities / Wolfram Burgard -- Automating supervision of AI delegates / Jaan Tallinn and Richard Ngo -- Artificial moral agents - conceptual issues and ethical controversy / Catrin Misselhorn -- Risk imposition by artificial agents - the moral proxy problem / Johanna Thoma -- Artificial Intelligence and its integration into the human lifeworld / Christoph Durt -- Artificial Intelligence and the past, present and future of democracy / Mathias Risse -- The new regulation of the European Union on Artificial Intelligence - fuzzy ethics diffuse into domestic law and sideline international law / Thomas Burri -- Fostering the common good - an adaptive approach regulating high-risk AI-driven products and services / Thorsten Schmidt and Silja Voeneky -- China's normative systems for responsible AI - from soft law to hard law / Weixing Shen and Yun Liu -- Towards a global Artificial Intelligence Charter / Thomas Metzinger -- Intellectual debt - with great power comes great ignorance / Jonathan Zittrain -- Liability for Artificial Intelligence - the need to address both safety risks and fundamental rights risks / Christiane Wendehorst -- Forward to the past - a critical evaluation of the European approach to Artificial Intelligence in Private International Law / Jan von Hein -- Differences that make a difference -- computational profiling and fairness to individuals / Wilfried Hinsch -- Discriminatory AI and the law - legal standards for algorithmic profiling / Antje von Ungern-Sternberg -- Artificial Intelligence and the Right to Data Protection / Ralf Poscher -- Artificial Intelligence as a challenge for Data Protection Law - And Vice Versa / Boris Paal -- Data governance and trust - lessons from South Korean experiences coping with COVID-19 / Haksoo Ko, Sangchul Park and Yong Lim -- From corporate governance to algorithm governance - Artificial Intelligence as a challenge for corporations and their executives / Jan Lieder -- Autonomization and antitrust - on the construal of the cartel prohibition the light of algorithmic collusion / Stefan Thomas -- Artificial Intelligence in financial services - new risks and the need for more regulation? / Matthias Paul -- Medical AI - key elements at the international level / Fruzsina Molnár-Gábor and Johanne Giesecke -- "Hey Siri, how am i doing?" - legal challenges for Artificial Intelligence alter egos in healthcare / Christoph Krönke -- Neurorights - a human-rights based approach for governing neurotechnologies / Philipp Kellmeyer -- AI-supported brain-computer interfaces and the emergence of 'cyberbilities' / Boris Essmann and Oliver Mueller -- Artificial Intelligence, law and national security / Ebrahim Afsah -- Morally repugnant weaponry? Ethical responses to the prospect of autonomous weapons / Alex Leveringhaus -- On 'responsible AI' in war - exploring preconditions for respecting International Law in Armed Conflict / Dustin A. Lewis.

In the past decade, artificial intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. This book is also available as Open Access on Cambridge Core.

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