Advocates treating social welfare from economics as an additional core criterion for ML design and use in social settings, complementing optimization, generalization, and expressivity.
Fairness, equality, and power in algorithmic decision-making
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap
Advocates treating social welfare from economics as an additional core criterion for ML design and use in social settings, complementing optimization, generalization, and expressivity.