Algorithms define the rules, conditions, and methodology that an AI will use when processing and analyzing data.

Explainable AI helps companies identify the factors and criteria algorithms use to reach decisions. (Photo by Jens Büttner/picture alliance via Getty Images) Artificial intelligence is biased ...

Slower uptake of generative AI in public health provides a unique opportunity to embed community accountability before more ...

Davidson's research has evolved to investigate fair and explainable deep learning AI: Fair, as in how to make AI operate more fairly and with less bias; and explainable, as in once an AI can make fair ...

The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street sign; the ...

As AI algorithms become more sophisticated, ethical concerns such as bias, transparency, and consumer trust will need to be addressed to maintain brand credibility.

Large language models are helping food manufacturers save billions annually with predictive analytics for growing and buying.

Navy innovations in artificial intelligence are transforming modern warfare, enhancing capabilities across the board. From ...

Examples include credit scoring systems that wrongfully penalize people, recidivism algorithms that give heavier sentences to defendants based on their race and ethnic backgrounds, teacher-scoring ...

Three new studies show how AI can be used to help predict and fight long COVID, especially in challenging populations like ...