In this talk, I will present the issue of automated content moderation and the impacts of machine learning on society. Presenting work from NLP, privacy preserving machine learning, science and technology studies, decolonize studies, and media studies with a focus on content moderation, I will seek to lay out the impacts of machine learning on society, what theory from disparate fields allows us to know and productive directions that we can take. Finally, I will highlight some research areas that can afford productive directions for the meeting between machine learning and society.
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Zeerak Talat is an independent scholar working on the intersection between machine learning, science and technology studies, and media studies. Their research considers how machine learning interacts with and impacts our societies through the lens of content moderation technologies. Zeerak’s work crosses disciplinary boundaries, in search for a holistic understanding of machine learning technologies and society.
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