AI systems are only as good as the data they learn from, and biases in data can lead to discrimination in hiring, lending, healthcare, and more. This post explores how AI bias occurs, the risks it poses, and what companies can do to build more ethical and transparent AI systems. We’ll also discuss privacy concerns and who should be held accountable when AI makes mistakes. https://technologyaiinsights.com/