Fr. 52.50

Ai for Humanity - Building a Sustainable Ai for the Future

English · Hardback

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Informationen zum Autor Andeed Ma is President of the Risk and Insurance Management Association of Singapore (RIMAS) and is a cloud, AI, and risk management leader for over 16+ years with major SaaS enterprises, including ServiceNow, CyberArk, and ByteDance, the parent company of TikTok. He lectures on AI at the Singapore University of Social Sciences (SUSS) and academies, and also mentors startups in various accelerator programs. James Ong, PhD., founded the Artificial Intelligence International Institute (AIII), a think tank advocating Sustainable AI for Humanity. With 38+ years as an entrepreneur, tech executive, venture builder and professor, he enjoys his journey of ecosystem building for impactful outcomes, bridging scientific research, startups, and impact investment. Siok Siok Tan is a filmmaker and innovator whose works explore the nexus of humanity, social change and technology. Her documentaries and mobile photography have captivated global attention from CNN to The Guardian, from the People's Daily to the Times of India. Her storytelling transcends mediums, advocating for a future where technology empowers humanity. Klappentext Primarily targeted at the private sector, Sustainable AI: Balancing technology, commercialization, impact and governance for future AI aims to encourage businesses to adopt sustainable development of Artificial Intelligence technologies in their products and services, and to help them create their own frameworks for risk management and governance. In this book, the authors examine and discuss what they consider as the four pillars to sustainable development of AI, which are technology, commercialization, impact and governance, and propose actionable commitments that businesses can make. They also discuss how these steps are aligned with the United Nation's Sustainable Development Goals and Digital Strategy. The book will be supplemented by case studies from enterprise leaders such as SAP, IBM, AWS, Huawei, Alibaba and Tencent, and AI unicorns such as Sensetime, Neo4j and TCT.Key topics include:* What factors should businesses consider before employing AI?* What changes should be made to AI to be sustainable for long term success?* What do businesses using AI should be inspired to do?* How can the risks be mitigated?* What AI should not be allowed to do.* How can AI help to protect us?* How can we protect ourselves from AI? Zusammenfassung Capture the value of cutting-edge AI while mitigating its most salient risksAI For Humanity: Building a Sustainable AI for the Future delivers an incisive and timely discussion of how to design, build, and implement cutting-edge AI in for-profit firms and other organizations in a responsible, sustainable, and ethical way. The book walks you through the three pillars of human-focused AI development--governance, technology, and commercialization--and dives deep into each one, showing you how to createAI products and services that better humanity and advance universally held values. You'll find methodologies and frameworks that mitigate against some of the most profound and unsettling risks of unchecked artificial intelligence development, and roadmaps to help you avoid the numerous pitfalls and traps awaiting unsuspecting companies, managers, and executives. You'll also discover:* Real-world case studies, from companies including SAP, Huawei, and Tencent, demonstrating the actual dilemmas and questions firms face when developing and implementing this extraordinary tech* Actionable commitments you can make to help ensure you and your company avoid the ethical and reputational risks associated with AI* Strategies for AI product and service development consistent with sustainable growthPerfect for managers, executives, directors, and other business leaders with a stake in responsible artificial intelligence design, development, and implementation, AI For Humanity will also interes...

List of contents

Acknowledgments xv
 
Preface xxiii
 
Chapter 1 The AI Debate 1
 
Chapter 2 The AI Trap 27
 
Chapter 3 AI History 53
 
Chapter 4 The AI Dilemma 77
 
Chapter 5 Rethinking AI 99
 
Chapter 6 Sustainable AI for Humanity 123
 
Chapter 7 Sustainable AI Governance 151
 
Chapter 8 Sustainable AI Technology 181
 
Chapter 9 Sustainable AI Commercialization 209
 
Chapter 10 AI for Humanity 241
 
About the Authors 267
 
Index 271

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