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New books from MIT Sloan faculty and experts on a future-ready workforce, game theory, AI, and more.

Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.

Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.

The framework offers new and viable directions for improving worker health and well-being while maintaining or enhancing employee engagement and productivity.

The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope.

Executives from financial services firms discuss early adoption of AI in the industry, reasons for caution, and the benefits of partnering with fintechs.

When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.

Institute professor Daron Acemoglu and MIT Sloan professor Simon Johnson have examined economic growth, digital advertising, and the Russian oil cap.

New books about the future of AI, working remotely, the COVID-19 vaccine, and how to build the perfect portfolio.