Responsible Artificial Intelligence for Ethical and Governance Challenges in Society
Critical Reflections from Policy Landscape
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Beschreibung
This book offers a comprehensive examination of the intersection between artificial intelligence (AI), ethics, and governance, addressing the critical need for responsible AI deployment in our rapidly evolving technological society. Through a blend of theoretical insights and practical case studies, the book delves into the current policy frameworks and ethical considerations shaping AI governance. The book adopts a multidisciplinary approach, integrating perspectives from computer science, ethics, law, and public policy to provide a holistic view of the challenges and opportunities in AI governance. This unique approach ensures that readers gain a nuanced understanding of how AI can be developed and deployed responsibly, balancing innovation with societal good. New to this book is its in-depth analysis of emerging AI policies across different regions, offering a comparative perspective that highlights both global trends and local nuances. The authors provide critical reflections on existing governance models, propose actionable recommendations for policy-makers, and explore the implications of AI on fundamental human rights and societal norms. The scope of the book is broad, covering key topics such as algorithmic transparency, data privacy, bias mitigation, accountability, and the socio-economic impacts of AI. It also addresses the ethical dilemmas faced by AI practitioners and the importance of fostering public trust in AI technologies.
The expected readership includes policy-makers, academic researchers, industry professionals, and students in the fields of AI, ethics, and public policy. By providing actionable insights and fostering a deeper understanding of AI governance, the book aims to equip these audiences with the knowledge needed to navigate the complex landscape of AI ethics and governance effectively. The book is an essential resource for anyone committed to ensuring that AI technologies are developed and deployed in ways that are ethical, transparent, and beneficial to society.
This book offers a comprehensive examination of the intersection between artificial intelligence (AI), ethics, and governance, addressing the critical need for responsible AI deployment in our rapidly evolving technological society. Through a blend of theoretical insights and practical case studies, the book delves into the current policy frameworks and ethical considerations shaping AI governance. The book adopts a multidisciplinary approach, integrating perspectives from computer science, ethics, law, and public policy to provide a holistic view of the challenges and opportunities in AI governance. This unique approach ensures that readers gain a nuanced understanding of how AI can be developed and deployed responsibly, balancing innovation with societal good. New to this book is its in-depth analysis of emerging AI policies across different regions, offering a comparative perspective that highlights both global trends and local nuances. The authors provide critical reflections on existing governance models, propose actionable recommendations for policy-makers, and explore the implications of AI on fundamental human rights and societal norms. The scope of the book is broad, covering key topics such as algorithmic transparency, data privacy, bias mitigation, accountability, and the socio-economic impacts of AI. It also addresses the ethical dilemmas faced by AI practitioners and the importance of fostering public trust in AI technologies.
The expected readership includes policy-makers, academic researchers, industry professionals, and students in the fields of AI, ethics, and public policy. By providing actionable insights and fostering a deeper understanding of AI governance, the book aims to equip these audiences with the knowledge needed to navigate the complex landscape of AI ethics and governance effectively. The book is an essential resource for anyone committed to ensuring that AI technologies are developed and deployed in ways that are ethical, transparent, and beneficial to society.
Explores policy frames and ethical issues in AI governance, blending theoretical insights with practical case studies Takes multidisciplinary approach to offer rigorous research work in responsible AI, ethics, and governance domains Covers key topics like algorithmic transparency, data privacy, accountability, and socio-economic impacts
Autor*in
Chhavi Sharma
Themen in »Responsible Artificial Intelligence for Ethical and Governance Challenges in Society«
Responsible Artificial Intelligence AI Ethics AI Policy AI issues in Governance Critical Reflections