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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.
AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.
AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
A Center for Neural Data Science Seminar Series
A Center for Neural Data Science Seminar Series
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?
