A researcher’s experiments raise uncomfortable questions about the rapid evolution of large language models.
Corporate disclosure can bring more efficiency to a busy yet often-overlooked market.
Computers are getting smarter. But what does it mean to say they’re learning?
Researchers found that origin stories changed how people viewed AI agents’ work.
A human-centered approach to artificial intelligence envisions a future where people and machines are collaborators, not competitors.
A few strategic changes to dating apps could lead to more and better matches.
If a complex data analysis tool can’t explain its decisions, how do we know it’s accurate — or fair?
Months before the company quit flipping houses, Stanford GSB researchers spelled out the risks of iBuying.
Years of patient collaboration generated insights that have narrowed the gap between economics and the real world.
Michal Kosinski talks about exposing the dangers of new technologies and the controversies that come with it.
Insights and ideas on operations, information, and technology, including the management of systems, processes, and networks.
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