Work

Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics?

Year: 2026

Type: conference-paper

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2026.eacl-long.199

Authors: Zhengyang Shan, Aaron Mueller

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W7140126718

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