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A few months ago, researchers from the MIT Senseable City Lab published a study about pollution in New York City featuring some new methods. For instance: With machine learning, they identified the types of vehicles appearing in 331 traffic cameras in the city, and estimated the emissions coming from each automobile. Given enough cameras, these […]
The promise and peril of using visual AI to study cities Read More »
We are used to the idea that our fellow humans might intentionally mislead or manipulate us, but the idea that machines can now do the same is deeply unsettling. Researchers are racing to find solutions before it’s too late.By Snigdha Poonam. Read by Maya SaroyaRead the text version hereSupport the Guardian today: theguardian.com/longreadpodThis article was
Countries have come together before to make international agreements in the face of existential threatsWith many technological developments, from algorithm-driven social media to AI, many people assume there’s a degree of inevitability to their widespread adoption in society.The argument goes something like this: once the ideas and means to produce the tech are known, then
We examine claims and counterclaims about the risks and calls to slow down the pace of AI developmentThere have been some shocking claims in recent days about AI safety: we face a 10% chance of doom; AIs are worse than nukes; a “botnet” threatens the entire internet; it’s all a big tech psyop. We look
Could AI really wipe out humanity and hijack the internet? Read More »
Warnings of AI’s existential threat to humanity are piling up – it’s time to listen and take them deadly seriouslyAnother day, another horseman of the apocalypse galloping over the horizon. Lately we have heard from so many AI doomers – tech whistleblowers popping up to warn that their work is probably going to kill us
We must pause risky AI research while we still have the power to do so | Gaby Hinsliff Read More »
When an artificial intelligence image generator produces a portrait, whose work went into it? The question sits at the center of lawsuits, licensing deals, and proposed regulations worldwide. Artists want credit. Companies want clarity. Policymakers want a way to assign responsibility.New work from a team of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory
What might a modern day equivalent of Isaac Asimov’s laws of robotics look like? Guided by the author, I propose the three laws of AITesla and SpaceX founder Elon Musk predicted in July that legions of AI-powered robots would dominate the physical world and that AI might not take orders from people any more. He
Millions of people are now designing their own personalized artificial intelligence companions, yet most have little idea how those creations will actually behave. In a new paper, MIT Media Lab Assistant Professor Pat Pataranutaporn and his graduate student researchers Anthony Baez and Sheer Karny introduce “neural transparency,” a tool that lets everyday users glimpse inside
3 Questions: Neural transparency and the future of AI design Read More »
With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for their task, such as generating product renderings in a certain artistic style. But these models also find their way into the hands of nefarious actors who may optimize them to produce illegal content, like hate speech
New method aims to keep kids safe from illegal AI-generated content Read More »
As advanced medical technology gets closer to hitting consumer markets, the need for guardrails on protected usage should increase. What might begin as a neural implant to aid in communication could become a device used to police one’s innermost thoughts.Intrigued by the far-reaching benefits and risks of neural implants, Rachel Sava, a PhD candidate in
Toward a future that preserves benefits of neurotechnology for all Read More »
