AI and Bias

AI and bias refer to the systematic prejudice that can emerge in artificial intelligence systems due to the data they are trained on or the algorithms that govern their behavior. This bias can manifest in various forms, including racial, gender, and socio-economic biases, leading to unfair outcomes in decision-making processes. Common use cases include facial recognition systems, hiring algorithms, and predictive policing, where biased AI can perpetuate existing inequalities. Addressing AI bias is crucial for developing fair and ethical AI technologies that serve all individuals equitably.