Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

This article was contributed by Loren Goodman, cofounder and CTO at InRule Technology. Traditional machine learning (ML) does only one thing: it makes a prediction based on historical data. Machine ...

Artificial intelligence built on mountains of potentially biased information has created a real risk of automating discrimination, but is there any way to re-educate the machines? The question for ...

AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to ...

Computers learning human languages through machine-learning algorithms will also learn human biases, according to research from computer scientists at Princeton. In fact, search engines clearly show ...

The scenario: You're preparing for a job interview. The stakes feel high. You want — you need — this job. So you do what millions of people now do: you ask an AI chatbot for advice on salary ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...