Fairness is defined as invariance under sensitive-attribute bit-flips and enforced via loss regularization, yielding 90% violation reduction and 5% accuracy cost on four synthetic datasets without requiring causal graphs.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Detecting and Mitigating Bias by Treating Fairness as a Symmetry Operation
Fairness is defined as invariance under sensitive-attribute bit-flips and enforced via loss regularization, yielding 90% violation reduction and 5% accuracy cost on four synthetic datasets without requiring causal graphs.