NLM Science, Technology, and Society Lecture
Event Description
Sponsored by the NLM Office of Strategic Initiatives, the Science, Technology, and Society Lecture aims to raise awareness around the societal and ethical implications of biomedical research conduct and the use of advanced technologies. Each spring, NLM invites a leading voice working at the intersection of biomedicine, data science, ethics, and justice to present their research and how it relates to the mission and vision of both NLM and NIH. NLM sees such considerations as fundamental to advancing biomedical discovery and human health for the benefit of all.
What if racism, sexism, and ableism aren’t just glitches in mostly functional machinery—what if they’re coded into our technological systems? In this talk, data scientist and journalist Meredith Broussard explores why neutrality in tech is a myth and how algorithms can be held accountable.
Broussard, one of the few Black female researchers in artificial intelligence, explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences.
Broussard argues that the solution isn’t to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. She explores practical strategies to detect when technology reinforces inequality, and offers ideas for redesigning our systems to create a more equitable world.
