Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems.
Preface. Foreword. Introduction to Responsible AI. AvatarGuard: Customizable, Secure, and Private Virtual Identities for Video Conferencing. AI Ethics: A Deep Dive. Bias in AI: Causes and Mitigation. Bias in AI: Causes and Mitigation. Transparency and Explainability in AI. PromptCraft: Illuminating Ideas with High-Definition Brilliance through Stable Diffusion in Text-to-Image Generation. Responsible AI in Autonomous Systems. Responsible AI Governance and Regulation. Charting the Future of Responsible AI. AI for Good: Social and Environmental Impact. AI in Finance: Navigating Ethical Quandaries.
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