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Algorithmic bias
🌐 Entity

Algorithmic bias

Technological phenomenon with social implications

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4 news mentions · 👍 0 likes · 👎 0 dislikes

📌 Topics

  • AI Limitations (1)
  • Model Training (1)
  • AI Ethics (1)
  • Model Accuracy (1)
  • AI Evaluation (1)
  • Demographic Bias (1)
  • AI behavior analysis (1)
  • Consumer choice experiments (1)
  • AI decision-making framework (1)

🏷️ Keywords

AI bias (4) · large language models (2) · language models (1) · compression (1) · consistency (1) · accuracy (1) · training algorithms (1) · information generation (1) · ecological fallacy (1) · human context (1) · personalization (1) · HUMAINE Framework (1) · LLM evaluation (1) · human preference (1) · demographic awareness (1) · equitable AI (1) · ABxLab (1) · AI agent behavior (1) · consumer choice experiments (1) · decision-making framework (1)

📖 Key Information

Algorithmic bias describes systematic and repeatable harmful tendency in a computerized sociotechnical system to create "unfair" outcomes, such as "privileging" one category over another in ways that may or may not be different from the intended function of the algorithm. Bias can emerge from many factors, including intentionally biased design decisions or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm. For example, algorithmic bias has been observed in search engine results and social media platforms.

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