FIELD NOTES TOPIC

bias detection

3 notes, newest first.

  1. Challenges in Evaluating Explanation Methods for Static and Evolving Data

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    The paper discusses the limitations in evaluating Explainable Artificial Intelligence (XAI) systems, specifically focusing on the DetoxAI image recognition system. It highlights the need for better evaluation methods…

  2. Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation

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    Researchers have developed a method called Distill to Detect (D2D) to expose stealth biases in large language models used in high-stakes roles. These biases can favor certain entities, brands, or viewpoints and are…

  3. UnBias-Plus: Detect, Explain, and Rewrite Bias

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    UnBias-Plus is a new open-source toolkit that aims to address the issue of bias in natural language content across various domains like journalism, education, and AI research. The toolkit offers four key features…