Fairness-Aware Causal Active Learning for Genomics AI (FACA-GEN)

Amber Qayum Hawabaz

Keywords: Genomics AI, Fairness-Aware Active Learning, Causal Representation Learning, Multi-Armed Bandit, Reinforcement Learning, Bias Mitigation, Fairness in AI, Machine Learning in Genomics, Ethical AI, Precision Medicine

TL;DR: FACA-GEN is a fairness-aware active learning framework for Genomics AI that dynamically balances informativeness, fairness, and causal validity using multi-armed bandits and reinforcement learning to mitigate bias while preserving accuracy.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 284