Walter Gerych

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Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

May 1, 2026

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.

A better method for identifying overconfident large language models

March 23, 2026

This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.

LLMs factor in unrelated information when recommending medical treatments

June 25, 2025

Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.