Capture the value of cutting-edge AI while mitigating its most salient risks AI 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 create AI 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 growth Perfect for managers, executives, directors, and other business leaders with a stake in responsible artificial intelligence design, development, and implementation, AI For Humanity will also interest regulators, academics, thought leaders, and policy makers doing their best to capture AI's substantial potential value while mitigating its most serious risks.

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?