In “A World Without Work,” Derek Thompson explores how automation and artificial intelligence could fundamentally change — and potentially eliminate — many forms of human labor. He argues that as machines grow increasingly capable, society may face widespread technological unemployment, not just in factories but in white-collar and creative jobs as well.

In Supremacy, Olson, tech writer at Bloomberg, tells the astonishing story of the battle between the world’s two leading AI firms, OpenAI and DeepMind, their struggles to use their tech for good, and the hazardous direction they could go as they serve two tech Goliaths whose power is unprecedented in history. The story focuses on the continuing rivalry of two key CEOs at the center of it all, who cultivated a religion around their mission to build god-like super intelligent machines: Sam Altman, CEO of OpenAI, and Demis Hassabis, the CEO of DeepMind.

Mollick argues that AI should be viewed not as a replacement, but as a co-intelligence—a partner in creative, cognitive, and collaborative work, amplifying human capabilities rather than simply automating them. He introduces four guiding principles for working with AI: 1) invite AI to the table, 2) be the human in the loop, 3) treat AI like a person (but define its role), 4) assume the AI you’re using is the worst you’ll ever have (so you stay adaptive).

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. He suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.

An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO of Microsoft AI

a 2024 non-fiction New York Times best seller book from the late diplomat and political scientist Henry A. Kissinger, the American businessman and former computer engineer Eric Schmidt and the American businessman Craig Mundie. The authors illuminate the ethical and social questions associated with the development of AI and provide perspectives on how we can shape these technologies responsibly.

a 2019 non-fiction book by Microsoft President Brad Smith and one of the tech industry's broadest thinkers Carol Ann Browne. It is a a frank and thoughtful reckoning with how to balance enormous promise and existential risk as the digitization of everything accelerates.

a 2020 non-fiction book by the American writer Brian Christian. It is based on numerous interviews with experts trying to build artificial intelligence systems, particularly machine learning systems, that are aligned with human values.

This book gives a glimpse into the ultimate learning machine that could derive all knowledge from data, and what it would mean for humanity.

A 2014 book by the philosopher Nick Bostrom. It explores how superintelligence could be created and what its features and motivations might be. The book also presents strategies to help make super-intelligences whose goals benefit humanity.

a 2017 non-fiction book by Swedish-American cosmologist Max Tegmark. Life 3.0 discusses artificial intelligence (AI) and its impact on the future of life on Earth and beyond. The book discusses a variety of societal implications, what can be done to maximize the chances of a positive outcome, and potential futures for humanity, technology and combinations thereof.

The leading textbook in Artificial Intelligence. It is used in over 1,500 universities in 135 countries and is considered the standard text in the field.