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A group of Rice University Computer Science (CS) Ph.D. students and professors have found bias in widely used machine learning (ML) tools being leveraged for immunotherapy research. Ph.D. students Anja Conev, Romanos Fasoulis, and Sarah Hall-Swan, working with CS faculty members Rodrigo Ferreira and Lydia Kavraki, reviewed publicly available Peptide-HLA (pHLA) binding prediction data and found it to be skewed toward higher-income communities.[AI generated]
Why's our monitor labelling this an incident or hazard?
- Their paper, entitled HLAEquity: Examining biases in pan-allele peptide-HLA binding predictors, examines the way that biased data input affects the algorithmic recommendations being used in important immunotherapy research.
- A group of Rice University Computer Science (CS) Ph.D. students and professors have found bias in widely used machine learning (ML) tools being leveraged for immunotherapy research.