This blog post explores the three-stage bias detection process in DeepEval, an LLM-based evaluation system that quantifies bias in AI-generated text. The methodology leverages structured validation, templated prompts, and a scoring framework to assess bias across multiple categories.

Thoughts on these resources on interpreatbility and causal reasoning: add disclimar that these are just my peronsal thoughts, I am not an expert and there’s alot Is still don’t know about the field. I am just writing to help me learn and develop my technical writing skill https://arxiv.org/abs/2503.08679 https://arxiv.org/pdf/2602.16698 https://arxiv.org/abs/2512.18792 During my capstone at UVA, I worked with WinoBias counterfactual pairs to test whether Claude 3.During my capstone at UVA, I worked with WinoBias counterfactual pairs to test whether Claude 3....