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?