Algorithmic Bias
Definition: Algorithmic bias happens when an AI system makes unfair or unbalanced decisions because the data it learned from was skewed. In simple terms, if the training data has patterns of inequality, the AI can unintentionally copy them in its results.
Example
An AI hiring tool trained mostly on résumés from men might start favoring male candidates for new jobs. The AI does not know it is being unfair; it is just repeating the patterns it saw in its data.
Why It Matters?
Algorithmic bias matters because it can affect real people’s lives, from who gets hired or approved for a loan to who is flagged by law enforcement software. For lawyers and regulators, spotting and correcting these biases is critical to ensure fairness, protect rights, and stay compliant with anti-discrimination laws.
Learn more: Built-In Bias: What Every Lawyer Needs to Know About AI’s Hidden Prejudices