Tarnveer Singh

Artificial Intelligence and Ethics (eBook, PDF)

A Field Guide for Stakeholders

• Format: PDF

Produktbeschreibung

Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of AI. The book will be of particular interest to business stakeholders, including executives, scientists, ethicists and policymakers, considering the complexities of AI and how to navigate these.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 278
• Erscheinungstermin: 22. November 2024
• Englisch
• ISBN-13: 9781040164839
• Artikelnr.: 72253363

Autorenporträt

Tarnveer Singh, award winning CIO/CISO. Fellow of the British Computer Society. Fellow of the Chartered Institute of Information Security. Director (Security and Compliance) at Cyber Wisdom Ltd., Experienced Chief Information Security Officer (CISO) in the Insurance sector and many other sectors.

Inhaltsangabe

Introduction to Artificial Intelligence. The Benefits of Artificial
Intelligence (AI). Machine Learning and Automation. Implementing Generative
AI in Your Business. Technology and Ethics. The Technology Lifecycle.
Innovation and Product Management. IT Systems and Management Information
(MI). Individual Liberties. Autonomy, Authenticity, and Identity. Playing
God And Hubris. The Impact on Society. The Power of AI in Financial
Services. Cybersecurity Considerations with AI. Ethical Concerns with
Artificial Intelligence. Disinformation and Manipulation. AI and Mass
Surveillance. Inequality and Concentration of Power. Protecting Privacy and
Human Rights. Human Rights, Freedom of Speech, and Democracy. Human
Psychology, Relationships, and Personhood. Safeguarding Safety, Trust, and
Social Justice. Superintelligence: An Existential Risk. AI Alignment. AI as
a Potential Lifeform. Exploring AI in Virtual Reality (VR) and Simulation.
AI Governance. Risk Management. Standards and Regulation. National and
International Strategies. The Emergence of AI Ethics. Prioritising Fairness
in AI. Accountability. The Need for Transparency. Interpretability. Human
Factors: The Need for Human-Centred Approach. Conclusion: The Need for
Better AI Governance.