MIT Technology Review
Why the Chinese government is sparing AI from harsh regulations—for now (MIT Technology Review)
Submitted by zwalker@benton.org on Tue, 04/09/2024 - 11:33How Adobe’s bet on non-exploitative AI is paying off (MIT Technology Review)
Submitted by zwalker@benton.org on Tue, 03/26/2024 - 09:47The tech industry can’t agree on what open-source AI means. That’s a problem. The answer could determine who gets to shape the f (MIT Technology Review)
Submitted by zwalker@benton.org on Mon, 03/25/2024 - 16:52The AI Act is done. Here’s what will (and won’t) change (MIT Technology Review)
Submitted by zwalker@benton.org on Tue, 03/19/2024 - 12:15Africa’s push to regulate AI starts now (MIT Technology Review)
Submitted by zwalker@benton.org on Fri, 03/15/2024 - 10:40Let’s not make the same mistakes with AI that we made with social media
Artificial intelligence, like social media, it has the potential to change the world in many ways, some favorable to democracy. But at the same time, it has the potential to do incredible damage to society. There is a lot we can learn about social media’s unregulated evolution over the past decade that directly applies to AI companies and technologies. These lessons can help us avoid making the same mistakes with AI that we did with social media. In particular, five fundamental attributes of social media have harmed society. AI also has those attributes:
Nobody Knows How AI Works (MIT Technology Review)
Submitted by zwalker@benton.org on Tue, 03/05/2024 - 10:26Bans on deepfakes take us only so far—here’s what we really need (MIT Technology Review)
Submitted by zwalker@benton.org on Tue, 02/27/2024 - 10:40How Wi-Fi sensing became usable tech
Over a decade ago, Neal Patwari lay in a hospital bed, carefully timing his breathing. Around him, 20 wireless transceivers stood sentry. As Patwari’s chest rose and fell, their electromagnetic waves rippled around him. Patwari, now a professor at Washington University in St. Louis, had just demonstrated that those ripples could reveal his breathing patterns. A few years later, researchers from MIT were building a startup around the idea of using Wi-Fi signals to detect falls.