Lalor et al., 2024 - Google Patents
Should fairness be a metric or a model? A model-based framework for assessing bias in machine learning pipelinesLalor et al., 2024
- Document ID
- 340731286018611806
- Author
- Lalor J
- Abbasi A
- Oketch K
- Yang Y
- Forsgren N
- Publication year
- Publication venue
- ACM Transactions on Information Systems
External Links
Snippet
Fairness measurement is crucial for assessing algorithmic bias in various types of machine learning (ML) models, including ones used for search relevance, recommendation, personalization, talent analytics, and natural language processing. However, the fairness …
- 238000010801 machine learning 0 title abstract description 160
Classifications
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- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
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- G06Q10/00—Administration; Management
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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