Skip to content
View BraveAnn011's full-sized avatar

Block or report BraveAnn011

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
BraveAnn011/README.md

Brianne Lee — AI Safety & Evaluation Research

Independent researcher measuring frontier LLM/VLM failure modes: context-driven valuation bias, author misattribution, miscalibrated confidence, and confabulation. Former first-author neuroscience researcher (PNAS 2007, Salk Institute); 20+ years of experimental design applied to AI behavior.

Current studies

  • ai-halo-valuation-bias — six-model VLM study on how visual/text context inflates or deflates price estimates (N=4,604)
  • llm-author-misattribution — six-model study on author-age misattribution, miscalibrated confidence, and post-hoc confession without correction (N=3,225)

Find me: LinkedIn · Substack

Pinned Loading

  1. ai-halo-valuation-bias ai-halo-valuation-bias Public

    Context-driven valuation bias and halo effects across six multimodal LLMs (companion study to Lee, 2026)

    Python 3

  2. llm-author-misattribution llm-author-misattribution Public

    Behavioral case study of author-age misattribution, miscalibrated confidence, and confession-without-correction across six frontier LLMs (N=3,225)

    Python