A Two-Stage Approach for Implicit Bias Detection in Generative Language Models

Jeremy Edwards; Renjie Hu; Amaury Lendasse; Alexander Schlager; Peggy Lindner

doi:10.14428/esann/2024.ES2024-206

A Two-Stage Approach for Implicit Bias Detection in Generative Language Models

Jeremy Edwards
, Renjie Hu
, Amaury Lendasse
, Alexander Schlager
, Peggy Lindner

Missouri University of Science and Technology

University of Houston
AIceberg Inc.

Research output: Contribution to conference › Paper › peer-review

Original language	English
Pages	607-612
Number of pages	6
DOIs	https://doi.org/10.14428/esann/2024.ES2024-206
State	Published - 2024
Event	32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024 - Bruges, Belgium Duration: Oct 9 2024 → Oct 11 2024

Conference

Conference	32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024
Country/Territory	Belgium
City	Bruges
Period	10/9/24 → 10/11/24

ASJC Scopus Subject Areas

Artificial Intelligence
Information Systems

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10.14428/esann/2024.ES2024-206

Cite this

Edwards, J, Hu, R, Lendasse, A, Schlager, A & Lindner, P 2024, 'A Two-Stage Approach for Implicit Bias Detection in Generative Language Models', Paper presented at 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, 10/9/24 - 10/11/24 pp. 607-612. https://doi.org/10.14428/esann/2024.ES2024-206

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AU - Lendasse, Amaury

AU - Schlager, Alexander

AU - Lindner, Peggy

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A Two-Stage Approach for Implicit Bias Detection in Generative Language Models

Conference

ASJC Scopus Subject Areas

Access to Document

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