Systematic distortions in content generated or processed by artificial intelligence systems, stemming from biases in training data, algorithms, or fine-tuning processes. Covers fairness testing, bias detection, mitigation of stereotypes, algorithmic discrimination, and ethical and security implications of generative and predictive AI models.