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

Creating smart, accurate AI algorithms is an ongoing effort that requires validation of training sets and some level of human intervention. Here's a guide to how to craft effective ones.

"Racial bias in healthcare algorithms and bias in AI for judicial decisions are just a few more examples of rampant and hidden bias in AI algorithms," says Paka.

Artificial Intelligence May Not 'Hallucinate' After All What makes an algorithm mistake a helicopter for a gun? Researchers think the answer has to do more with man than machine.

AI algorithms drive new database applications. Beyond Hadoop and Spark, many common databases can support AI.

With artificial intelligence algorithms becoming so common, AI hardware in the form of specialized circuits or chips is becoming essential.

Third, we must share the benefits. If AI boosts productivity, the gains should not enrich only tech giants and investors.