Managing Algorithmic Bias: Practical Steps, Tools, and Governance for Fairer, Safer AI
Algorithmic bias is one of the most important risks to manage when deploying machine intelligence. As automated systems influence hiring, lending, healthcare, and content moderation, small errors or hidden assumptions can amplify inequality, damage trust, and create regulatory exposure. Understanding the sources of bias and practical steps to mitigate it makes technology safer, fairer, and […]