Bias Encoded: How AI Learns and Amplifies Human Inequality

Key Points

• AI systems may reinforce existing biases in society, affecting fairness in decision-making.
• In a study of various algorithms, feedback loops were identified that increase inequality among marginalized groups.
• Training datasets often reflect historical biases, leading to flawed outcomes in AI applications.
• The findings suggest that without intervention, AI will continue to perpetuate systemic inequalities.