Fairness in Algorithms

Fairness in algorithms refers to designing and using computer programs that make decisions without bias or discrimination based on factors like race, gender, or background. It aims to ensure that everyone is treated equitably and that outcomes are not unfairly skewed due to flaws in data or how the algorithm is built. Achieving fairness involves careful checks and adjustments so that the algorithm's decisions promote justice, inclusivity, and equal opportunity, minimizing unintended harm or favoritism in automated processes.