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In this talk, Pamela Chen, 2020 Human-Centered AI and JSK Journalism Fellow at Stanford, shares her experiences leading an editorial team at Instagram as the company scaled content discovery to serve more than 1 billion monthly active users. Spoiler alert: it doesn’t go as planned.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
As content platforms began to rely on machine learning to personalize recommendations, they inadvertently enabled a new human creator class who specialized in going viral via the machine. The ranking algorithms got better at predicting the content we respond to, and these viral meme creators got better at achieving the response the algorithms were designed to predict. This emerging feedback loop, combined with the hard learnings of scaling content discovery, has led to new questions.
Who are the players behind “the power of memes” to both expand the global cultural zeitgeist and enable targeted disinformation campaigns at astounding scale? And how can better understanding the ecosystem change the way we approach the design of human-centered AI in content curation systems today?
