From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias

• URL: http://arxiv.org/abs/2502.11195v1
• Date: Sun, 16 Feb 2025 16:55:28 GMT
• Title: From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
• Authors: Yizhi Liu, Balaji Padmanabhan, Siva Viswanathan,
• Abstract summary: deepfake technologies have predominantly been criticized for potential misuse.<n>This study demonstrates their significant potential as tools for detecting, measuring, and mitigating biases in key societal domains.
• Score: 5.239071937714991
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: While deepfake technologies have predominantly been criticized for potential misuse, our study demonstrates their significant potential as tools for detecting, measuring, and mitigating biases in key societal domains. By employing deepfake technology to generate controlled facial images, we extend the scope of traditional correspondence studies beyond mere textual manipulations. This enhancement is crucial in scenarios such as pain assessments, where subjective biases triggered by sensitive features in facial images can profoundly affect outcomes. Our results reveal that deepfakes not only maintain the effectiveness of correspondence studies but also introduce groundbreaking advancements in bias measurement and correction techniques. This study emphasizes the constructive role of deepfake technologies as essential tools for advancing societal equity and fairness.

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