algorithmic discrimination

Understanding Algorithmic Bias Algorithmic bias refers to systematic errors or prejudices in AI systems that result in unfair outcomes. Despite the common myth that algorithms are neutral and objective, they are in fact products of human choices at every step – from the data used to train them to the definition of success” they optimize. As data scientist Cathy O’Neil famously put it, Algorithms are opinions embedded in code”. In other words, if an AI is fed historical data that reflects societal biases, or if its design prioritizes certain metrics over fairness, the algorithm can end up perpetuating and even