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🌐 Entity
Fairness (machine learning)
Measurement of algorithmic bias
📊 Rating
1 news mentions · 👍 0 likes · 👎 0 dislikes
📌 Topics
- AI fairness (1)
- Multimodal systems (1)
- Physics-based modeling (1)
🏷️ Keywords
Algorithmic fairness (1) · Multimodal bias (1) · Physics-based characterization (1) · Large language models (1) · Cross-modal bias (1) · Transformer dynamics (1) · Explainable AI (1) · AAAI2026 (1)
📖 Key Information
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may be considered unfair if they were based on variables considered sensitive (e.g., gender, ethnicity, sexual orientation, or disability).
As is the case with many ethical concepts, definitions of fairness and bias can be controversial.
📰 Related News (1)
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🇺🇸 Physics-based phenomenological characterization of cross-modal bias in multimodal models
arXiv:2602.20624v1 Announce Type: new Abstract: The term 'algorithmic fairness' is used to evaluate whether AI models operate fairly in both comparat...
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People and organizations frequently mentioned alongside Fairness (machine learning):
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Large language model · 1 shared articles
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Explainable artificial intelligence · 1 shared articles