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The School of Engineering and Applied Sciences’s Center for Research on Computation on Society hosted a panel Wednesday on using artificial intelligence to improve health care equity. Health and technology experts discussed the advantages and pitfalls of deploying artificial intelligence to improve health care equity at a School of Engineering and Applied Sciences panel Wednesday.
The event, hosted by the Center for Research on Computation and Society, featured talks by Heather Mattie, lecturer on biostatistics at the School of Public Health; David S. Jones ’92, a professor of the culture of medicine at the Medical School; and Nathaniel Hendrix, a postdoctoral research fellow at HSPH. Shalmali Joshi, a postdoctoral fellow at the Center for Research on Computation on Society, moderated the discussion.
Mattie opened the event with a discussion on algorithmic bias, which she defined as an algorithm “biased against some group over another.”
She stressed that almost all steps in the “pipeline” of “creating and implementing” an algorithm are subject to bias.
The first area of improvement Mattie addressed was the issue of biased datasets.
“A lot of the genome mapping studies, most of the individuals in those studies were of European descent. They’ve started to try to balance out representation which is […]