It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence.

When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.

The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, uses number ...

Gajilan, who has worked at Reuters for more than 14 years and was then digital news director, had been reading about artificial intelligence and custom GPTs—tailored AI models that users could ...

Students – and all manner of professionals – are tempted to outsource their thinking to AI, which threatens to undermine learning and credibility. A philosophy professor offers a solution.