Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems
暫譯: 掌握AI治理：建立可信賴與透明的AI系統指南
Gangavarapu, Rajendra
- 出版商: Springer
- 出版日期: 2025-09-27
- 售價: $1,560
- 貴賓價: 9.5 折 $1,482
- 語言: 英文
- 頁數: 137
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031936809
- ISBN-13: 9783031936807
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相關分類:
Prompt Engineering
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商品描述
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 illuminates 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're a business leader, technologist, academic, or tech-savvy AI enthusiast, this book delivers the tools and knowledge necessary to harness AI's potential responsibly.
- Offers actionable strategies for implementing ethical AI practices, ensuring fairness, transparency, and accountability; Provides cutting edge Insights on AI risks and delves into emerging threats and strategies to mitigate them effectively; Offers real-world case studies and explores global regulations and how they shape the future of ethical AI governance.
商品描述(中文翻譯)
這本書深入探討了快速演變的人工智慧（Artificial Intelligence, AI）技術所帶來的挑戰與機會。這本開創性的書籍闡明了在變革性創新時代中，對於倫理、透明和負責任的AI系統的迫切需求。通過對現實案例的全面探索、前瞻性的策略以及新興的治理框架，本書使讀者能夠駕馭AI治理的複雜性。從解決AI系統中的偏見和公平性問題，到減輕深偽（deepfake）操控和數據隱私違規等風險，它為政策制定者、技術專家和致力於促進AI應用中的信任與社會利益的組織提供了可行的見解。
《黑箱困境——揭開人工智慧治理的面紗》深入探討了一個在倫理、包容性和治理卓越原則指導下蓬勃發展的創新未來。無論您是商業領袖、技術專家、學者，還是對AI充滿熱情的科技愛好者，本書都提供了負責任地利用AI潛力所需的工具和知識。
- 提供可行的策略以實施倫理AI實踐，確保公平、透明和負責任；
- 提供有關AI風險的前沿見解，深入探討新興威脅及其有效的緩解策略；
- 提供現實案例研究，並探討全球法規及其如何塑造倫理AI治理的未來。
作者簡介
Dr. Rajendra Prasad Gangavarapu is a distinguished Artificial intelligence (AI) thought leader with over 15 years of experience in driving transformative innovations in AI. He is recognized as one of the "100 Most Influential AI Leaders in the USA" (2024) and was awarded the prestigious AI Innovator Award at MachineCon New York (2024). Dr. Gangavarapu has consistently delivered groundbreaking AI solutions that align with organizational objectives. His leadership has propelled advancements in generative AI, machine learning frameworks, and ethical AI practices, ensuring compliance with global regulations while fostering innovation. Dr. Gangavarapu delivered guest lectures on Ethical AI and AI applications at premier institutions such as Columbia University, Georgia State University, and Mercer University. He shared his expertise at several industry forums with published research in IEEE journals and collaborations with various federal regulators on Responsible AI (RAI). Dr. Gangavarapu's work extends beyond academia and conferences, as he has led the development and deployment of enterprise-wide AI initiatives that improved credit underwriting, fraud, marketing, operational efficiency, and customer retention. His efforts have empowered organizations to scale AI capabilities, reduce costs, and achieve measurable business impact while maintaining a steadfast commitment to ethical AI governance. He holds a Doctorate in Business Administration from the Georgia State University J. Mack Robinson College of Business.
作者簡介(中文翻譯)
拉詹德拉·普拉薩德·甘伽瓦拉普博士是一位卓越的人工智慧（AI）思想領袖，擁有超過15年的經驗，致力於推動AI的變革性創新。他被認為是「美國100位最具影響力的AI領袖之一」（2024年），並在紐約的MachineCon（2024年）獲得了享有盛譽的AI創新獎。甘伽瓦拉普博士持續提供與組織目標相符的突破性AI解決方案。他的領導推動了生成式AI、機器學習框架和倫理AI實踐的進步，確保遵守全球法規的同時促進創新。甘伽瓦拉普博士在哥倫比亞大學、喬治亞州立大學和梅瑟大學等頂尖機構就倫理AI和AI應用進行了客座講座。他在多個行業論壇分享了他的專業知識，並在IEEE期刊上發表研究，與各聯邦監管機構合作推動負責任的AI（RAI）。甘伽瓦拉普博士的工作超越了學術界和會議，他主導了企業範圍內的AI計劃的開發和部署，改善了信用承保、詐騙、行銷、運營效率和客戶保留。他的努力使組織能夠擴展AI能力、降低成本，並在保持對倫理AI治理的堅定承諾的同時實現可衡量的商業影響。他擁有喬治亞州立大學J. Mack Robinson商學院的工商管理博士學位。
