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 1b11d39..c81b509 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
@@ -82,7 +82,7 @@ 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/)
-- 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).
+- Cognitive Bias in Decision-Making with LLMs - [arXiv preprint arXiv:2403.00811 (2024)](https://arxiv.org/abs/2403.00811).
 - Bias in Large Language Models: Origin, Evaluation, and Mitigation - [arXiv preprint arXiv:2411.10915](https://arxiv.org/abs/2411.10915)
 - On Formalizing Fairness in Prediction with Machine Learning - [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)