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Towards Ethical and Socially Responsible Explainable AI: Challenges and Opportunities: Studies in Systems, Decision and Control, cartea 551

Autor Mohammad Amir Khusru Akhtar, Mohit Kumar, Anand Nayyar
en Limba Engleză Hardback – 10 oct 2024
"Dive deep into the evolving landscape of AI with 'Towards Ethical and Socially Responsible Explainable AI'. This transformative book explores the profound impact of AI on society, emphasizing transparency, accountability, and fairness in decision-making processes. It offers invaluable insights into creating AI systems that not only perform effectively but also uphold ethical standards and foster trust. Essential reading for technologists, policymakers, and all stakeholders invested in shaping a responsible AI future."
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Specificații

ISBN-13: 9783031664885
ISBN-10: 3031664884
Pagini: 500
Ilustrații: Approx. 500 p.
Dimensiuni: 155 x 235 mm
Ediția:2025
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

Introduction to Ethical and Socially Responsible Explainable AI.- The Need for Explainable AI Ethical and Social Implications.- Challenges in Developing Ethical and Socially Responsible Explainable AI.- The Role of Human Centered Design in Developing Explainable AI.- Transparency and Accountability in Explainable AI Best Practices.

Textul de pe ultima copertă

"Dive deep into the evolving landscape of AI with 'Towards Ethical and Socially Responsible Explainable AI'. This transformative book explores the profound impact of AI on society, emphasizing transparency, accountability, and fairness in decision-making processes. It offers invaluable insights into creating AI systems that not only perform effectively but also uphold ethical standards and foster trust. Essential reading for technologists, policymakers, and all stakeholders invested in shaping a responsible AI future."

Caracteristici

Explores technical and social challenges of AI development and the role of human-centered design Examines transparency, accountability, fairness, non-discrimination, privacy, and security in AI development Offers potential future directions for ethical and socially responsible AI development and implementation