Bias in Artificial Intelligence: Risks, Examples, and Prevention
Bias in AI arises when systems make unfair or unbalanced decisions, often unintentionally. This is especially concerning in HR, where decisions about people are being influenced by AI tools. Winslow’s glossary entry outlines what bias in AI looks like, how it happens, and why awareness is key. Learn practical steps for spotting and reducing bias in workplace AI systems. A must-read for ethical and inclusive tech adoption in people operations.