Major research reviews show no consistent causal link between teen social media use and harm, challenging policy calls.

AI hallucinations produce confident but false outputs, undermining AI accuracy. Learn how generative AI risks arise and ways to improve reliability.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Texas Attorney General Ken Paxton issued a sweeping legal opinion declaring DEI programs unconstitutional and warning private ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...

The following exchange was initiated when Staughton Lynd, one of the great historian activists of the twentieth and now twenty-first century, wrote to a number of other historians, including Noel. We ...

US President Donald Trump recently caused a storm of controversy after he suggested that NATO troops, including British soldiers, “stayed a little back” from front-line combat during the 20-year war ...

METR’s benchmark has become a bellwether of AI capability growth, but its design isn’t up to the task, argues Nathan Witkin ...

The replication crisis has exposed deep-seated tensions within psychological science. Beyond technical or procedural flaws, it has raised fundamental ...

The product development lifecycle is long and challenging. Whether it is translational research or clinical research, there are numerous obstacles in the design and management of a study and ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...