Time: 1:00 pm - 2:00 pm
Special Collections Seminar Room
Some scholars and journalists writing about AI bias try to assuage audiences that AI is “just math,” not the cyborgs of science fiction. We needn’t be afraid of math, the argument goes: we just need to hire diverse data scientists and develop better, less-biased models. On one hand, AI is just math, and concerns about artificial general intelligence, whether it’s biased or not, are overblown. But Dr. Matthew Salzano of the School of Communication and Journalism/Alan Alda Center for Communicating Science’s, has done research that suggests the solution of developing better models and hiring more diverse staff is incomplete. In order to imagine and enact more diverse, equitable, inclusive, and accessible worlds we will have to do more than combat AI bias once it appears, we have to interrogate and sabotage the very sociotechnical systems and ideologies that sustain it. In the talk, he will explain concepts like technoliberalism and technochauvinism, review some findings from my research about AI and communication, and offer some pre-, low-, and no-tech practices to take up to reckon with DEIA and AI.
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