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Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems
Tác giả: Rajendra Gangavarapu
NXB: Springer
Chi tiết sản phẩm
- #1,861,817 in Books
- #3,757 in Artificial Intelligence & Semantics
- #4,012 in Philosophy of Ethics & Morality
- #7,805 in Business Management
Đánh giá từ chuyên gia
From the Back CoverThis book takes you deep into the heart of the challenges and opportunities presented by the rapid evolution of Artificial Intelligence (AI) technologies. This groundbreaking book highlights the critical need for ethical, transparent, and accountable AI systems in an era of transformative innovation. Through a comprehensive exploration of real-world cases, forward-thinking strategies, and emerging governance frameworks, this book equips readers to navigate the complexities of AI governance. From addressing bias and fairness in AI systems to mitigating risks like deepfake manipulation and data privacy violations, it offers actionable insights for policymakers, technologists, and organizations committed to fostering trust and societal benefit in AI applications.The Black Box Dilemma — Unraveling the Governance of Artificial Intelligence dives into a future where innovation thrives under the guiding principles of ethics, inclusivity, and governance excellence. Whether you are a business leader, technologist, academic, or tech-savvy AI enthusiast, this book delivers the tools and knowledge necessary to responsibly harness AI’s potential.
About the AuthorThis book takes you deep into the heart of the challenges and opportunities presented by the rapid evolution of Artificial Intelligence (AI) technologies. This groundbreaking book highlights the critical need for ethical, transparent, and accountable AI systems in an era of transformative innovation. Through a comprehensive exploration of real-world cases, forward-thinking strategies, and emerging governance frameworks, this book equips readers to navigate the complexities of AI governance. From addressing bias and fairness in AI systems to mitigating risks like deepfake manipulation and data privacy violations, it offers actionable insights for policymakers, technologists, and organizations committed to fostering trust and societal benefit in AI applications.
Mô tả nội dung sách Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems - Rajendra Gangavarapu
Thông tin sách: Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems (Kindle, 158 trang) – Springer, 2025. Ngôn ngữ: Tiếng Anh.
This book takes you deep into the heart of the challenges and opportunities presented by the rapid evolution of Artificial Intelligence (AI) technologies. This groundbreaking book highlights the critical need for ethical, transparent, and accountable AI systems in an era of transformative innovation. Through a comprehensive exploration of real-world cases, forward-thinking strategies, and emerging governance frameworks, this book equips readers to navigate the complexities of AI governance. From addressing bias and fairness in AI systems to mitigating risks such as deepfake manipulation and data privacy violations, it provides actionable insights for policymakers, technologists, and organizations committed to fostering trust and societal benefits in AI applications.
Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems dives into a future where innovation thrives under the guiding principles of ethics, inclusivity, and governance excellence. Whether you are a business leader, technologist, academic, or tech-savvy AI enthusiast, this book delivers the tools and knowledge necessary to harness AI’s potential responsibly.
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