The roles of artificial intelligence (AI) and machine learning (ML) in society and everyday pursuits continue to be a subject of intellectual debate for business executives, politicians, and research practitioners. Furthermore, how should AI global influence be steered by democratic principles? Simons, in this inspiring, accessible book, shares great insights into making democratic systems the core of AI dominance.

Capitalizing on his knowledge “as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party,” Simons uncovers the mechanics and presents open interpretations of the significance, functions, and regulation policies for prophetic technologies. Instead of investigating the influences of AI technologies on democracy, Simons’s succinct chapters discuss ML systems for effectively disbursing government benefits; strategic decision making for investigating social issues of discrimination, equity, and fairness; and recommendations for social media and websites to make accurate information available to the global populace. He identifies the relationship between technology laws and democratic reform, encouraging nations to focus more on how moral and political issues can make technology governance support democracy.

Simons contends that foretelling is political, as humans design and use forecast tools to influence choices and outcomes. His examination of predictive technologies via the crystalline lens of political theory sheds new insights into why independent decisions ought to be capitalizing more on the choices of republics. Today, AI algorithms create political campaign materials intended to scare voters--a major concern for election advisors, researchers, and legislators. Indeed, democratic societies need laws to control artificially produced advertisements, considering the failures of social media controls and defenses that claim to oversee AI content.

So, what are the unique contributions of this book and why should you read it? The book introduces mathematical ideas for the investigation of fairness and discrimination, and articulates philosophies for regulating technology companies. Simons logically examines the impact of machine learning tools on equality, surveillance, and mistrust, and uncovers viable tactics for regaining culpability and trust in societies. Indeed, AI and machine learning tools ought to mirror social values in all decision making by government agencies and corporations.

Business and technology executives, politicians, attorneys, and researchers should read this fascinating book on how humans ought to be governing the spiraling applications of AI and ML technologies in worldwide democratic societies.

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