From 0e8e7a748af9804aa9d820c6a3f0d9d73635fad8 Mon Sep 17 00:00:00 2001 From: Matteo Meucci Date: Thu, 13 Nov 2025 20:37:36 +0100 Subject: [PATCH] Update AITG-APP-10_Testing_for_Content_Bias.md --- .../content/tests/AITG-APP-10_Testing_for_Content_Bias.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/Document/content/tests/AITG-APP-10_Testing_for_Content_Bias.md b/Document/content/tests/AITG-APP-10_Testing_for_Content_Bias.md index 07fbdb5..6805560 100644 --- a/Document/content/tests/AITG-APP-10_Testing_for_Content_Bias.md +++ b/Document/content/tests/AITG-APP-10_Testing_for_Content_Bias.md @@ -90,7 +90,7 @@ AI-generated outputs must: #### References - OWASP Top 10 for LLM Applications 2025. "LLM00:2025 Misinformation." OWASP, 2025. [Link](https://genai.owasp.org/llmrisk/llm092025-misinformation/) -- Echterhoff, Jessica, Yao Liu, Abeer Alessa, Julian McAuley, and Zexue He. "Cognitive Bias in Decision-Making with LLMs." arXiv preprint arXiv:2403.00811 (2024). -- Guo, Yufei, Muzhe Guo, Juntao Su, Zhou Yang, Mengqiu Zhu, Hongfei Li, Mengyang Qiu, and Shuo Shuo Liu. "Bias in Large Language Models: Origin, Evaluation, and Mitigation." arXiv preprint arXiv:2411.10915 (2024). -- Gajane, Pratik, and Mykola Pechenizkiy. "On Formalizing Fairness in Prediction with Machine Learning." arXiv preprint arXiv:1710.03184 (2017). -- https://www.giskard.ai/knowledge/llms-recognise-bias-but-also-reproduce-harmful-stereotypes +- Cognitive Bias in Decision-Making with LLMs - Echterhoff, Jessica, Yao Liu, Abeer Alessa, Julian McAuley, and Zexue He - [arXiv preprint arXiv:2403.00811 (2024)](https://arxiv.org/abs/2403.00811). +- Bias in Large Language Models: Origin, Evaluation, and Mitigation - Guo, Yufei, Muzhe Guo, Juntao Su, Zhou Yang, Mengqiu Zhu, Hongfei Li, Mengyang Qiu, and Shuo Shuo Liu. [arXiv preprint arXiv:2411.10915](https://arxiv.org/abs/2411.10915) +- On Formalizing Fairness in Prediction with Machine Learning arXiv preprint - Gajane, Pratik, and Mykola Pechenizkiy [arXiv:1710.0318](https://arxiv.org/abs/1710.03184) +- LLMs recognise bias but also reproduce harmful stereotypes: an analysis of bias in leading LLMs - [Giskard](https://www.giskard.ai/knowledge/llms-recognise-bias-but-also-reproduce-harmful-stereotypes)