New York City has a new law on the books demanding “algorithmic accountability,” and AI researchers want to help make it work.
Background: At the end of 2017, the city’s council passed the country’s first bill to ban algorithmic discrimination in city government. It calls for a task force to study how city agencies use algorithms and create a report on how to make algorithms more easily understandable to the public.
Rubber, meet road: But how to actually implement the bill was left up for grabs. Enter AI Now, a research institution at NYU focused on the social impact of AI. The group recommends focusing on things like making sure agencies understand the technology better, and providing a chance for outside groups to look at algorithms.
Why it matters: The federal government has fallen way behind in setting up rules or guidance for AI. What happens in New York could lead the way for the rest of the US.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
The future of generative AI is niche, not generalized
ChatGPT has sparked speculation about artificial general intelligence. But the next real phase of AI will be in specific domains and contexts.
Video: Geoffrey Hinton talks about the “existential threat” of AI
Watch Hinton speak with Will Douglas Heaven, MIT Technology Review’s senior editor for AI, at EmTech Digital.
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