How to tap AI’s potential while avoiding its pitfalls
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MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
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MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
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MIT’s Daron Acemoglu, David Autor, and Simon Johnson make the case for federal policies to encourage the development of AI that complements workers.
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Prof. Joann de Zegher suggests that crowdsourcing price information from market participants through a carefully-designed information-sharing platform can improve decision-making and increase revenue.
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New research from MIT Sloan finds that physical distances within 20 meters lead to more knowledge spillover among startups.
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Bankruptcy is designed to give distressed Americans a fresh financial start, but new research shows that Black filers are more likely to have their cases dismissed than whites filers.
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Economist Kate Raworth offers a framework to guide global development, government policy, and corporate strategy in the 21st century.
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How can urban real estate bounce back from the pandemic? By embracing flexibility and deploying artificial intelligence, industry experts say.
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AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
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Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.
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These 11 startups are offering innovative solutions to advance environmental and social good.