The Elgar Companion to Applied AI Ethics

Author: Christoph Lütge; Alexande Kriebitz; Raphael Max ; Caitlin C. Corrigan
Publisher: Edward Elgar Publishing
ISBN: 9781803928234
Published In: November 2024
Format: Hardback
Jurisdiction: U.K. ? Disclaimer:
Countri(es) stated herein are used as reference only

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Description
Contents

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This timely Companion provides a comprehensive overview of the relationship between applied ethics and the development and use of Artificial Intelligence (AI). Adopting a holistic approach, an array of global experts identify the norms at stake, map the legal landscape, and contextualize normative expectations in relevant use cases of AI.

The Elgar Companion to Applied AI Ethics explores the principles and notions that stakeholders confront in the development and implementation of AI technologies. Chapters examine the EU and US approaches to AI legalization, and question the extent to which different legal strategies adopted by Western governments foster a common international understanding of AI regulation. Diverse case studies of applied AI are discussed, covering autonomous driving, digital finance, AI and education, virtual cities, video games, and social robots. Ultimately, the Companion emphasizes the importance of incorporating non-Western perspectives into the global discourse on AI ethics and highlights the need to create effective frameworks which prevent AI solutions from negatively impacting individuals’ mental health.

This Companion is an invaluable resource for legal students and academics working in AI, information technology, social sciences, computer sciences, and human rights. Its practical implications for the future of technology will also be of interest to professionals working in international public policy and management staff concerned with digital ethics.

Introduction to The Elgar Companion to Applied AI Ethics 1

Alexander Kriebitz, Christoph Lütge, Caitlin Corrigan, Raphael Max

NOTIONS AND CONCEPTS OF AI ETHICS

On the elements and implications of accountability for AI providers 13

Ellen Hohma

Discriminatory Data Yields Discriminatory Systems: When AI Biases Harm Human Beings 37

Elisa Maria Entschew

AI explainability, interpretability, and transparency 66

Enzo Fenoglio and Emre Kazim

Protecting and realizing Human Rights in the context of Artificial Intelligence: A problem statement 94

Alexander Kriebitz

INTERNATIONAL REGULATION OF AI ETHICS