New books from MIT Sloan faculty and experts on a future-ready workforce, game theory, AI, and more.
A new research briefing released today by CISR establishes three principles supported by data monetization research to guide business leaders when making artificial intelligence (AI) investments.
Matt Beane, SM ’14, PhD ’17, argues those using artificial intelligence will become incrementally de-skilled unless they are consciously upskilling at the same time.
Data centers that shift workload to different times of day save money, but the environmental impact depends on the local grid.
Skeptics are more likely to approve of sustainable infrastructure when shown AI-enhanced images of how green cityscapes might look, research finds.
Generative AI and financial data are opening up the digital economy to more consumers and small businesses, but crypto concerns remain.
Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
David Autor and Neil Thompson on the importance of using AI tools to collaborate with humans and the nuances of how AI affects productivity and replaces workers.
In new policy briefs, MIT researchers outline how to regulate large language models, label AI-generated content, and pursue “pro-worker AI.”
Douglas Drane Career Development Associate Professor in Information Technology and Management, Associate Professor, Information Technology
