Algorithmic Bias

Systematic errors in algorithms that result in unfair or discriminatory outcomes for certain groups based on characteristics like race, gender, or age. These biases often stem from historical data used to train systems, reflecting and potentially amplifying existing societal prejudices. Picture a biased referee in sports – if their past decisions show favoritism, any automated system learning from those calls would perpetuate similar patterns.