Algorithmic Bias Detection and Mitigation

Algorithmic bias detection and mitigation involves identifying and reducing unfair biases in algorithms, which are computer programs that make decisions based on data. These biases can lead to discriminatory outcomes, such as favoring one group over another. To address this, experts analyze the data and the algorithm's decisions to spot imbalances. Techniques may include adjusting the data, changing the algorithm, or implementing fairness guidelines to ensure more equitable outcomes. The goal is to create technology that treats all individuals fairly and justly, promoting trust and inclusivity in automated systems.