Researchers and data scientists are actively exploring ways to rein in AI hallucinations through improved training and model refinements.

A closer look at how recruiting professionals use AI systems, and how this affects their decision making, is needed to mitigate potential discrimination in recruiting.

AI technology that amplifies false and misleading information increases instability in demcracy, experts say.

While trust is essential to promote human interaction with AI-powered digital workers, distrust may also play a role.

AI has no mechanism for making predictions or generating unique outputs well beyond its training data.

Very clever proofs show that efficient and parallel computation can be used to achieve the same results as slower serial methods.

Generative AI tools are streamlining administrative tasks, enhancing clinical-decision support, and augmenting patient education.

Uncertainties about competition, legislation, and sustainability counterbalance the thrilling potential of AI.

There are no effective standardized evaluation methods to measure how well a particular AI model performs a particular task.