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Bias (AI)

Definition In neural networks, a learnable offset added to a neuron's weighted input sum, allowing the model to fit data that doesn't pass through the origin. Separately, "bias" also refers to systematic errors or unfair skews in model outputs caused by imbalances in training data.

In Depth

Algorithmic bias — the second sense — is a major AI ethics concern. Models trained on historical data can perpetuate or amplify racial, gender, and socioeconomic disparities in hiring tools, loan decisions, medical diagnostics, and content moderation. Detecting and mitigating bias requires diverse training data, fairness-aware evaluation metrics, and ongoing monitoring in deployment.

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AI Agent AI Alignment Agentic AI Artificial General Intelligence Artificial Superintelligence Attention Mechanism AutoML Benchmark Bias (AI) Chain-of-Thought Computer Vision Deepfake Diffusion Model Edge AI Embedding Federated Learning Few-Shot Learning Fine-Tuning Function Calling GPT