The Dangers of Open AI

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The only thing that they can test for right now is did the AI say a naughty thing? Did it do something bad in the immediate sense? They cannot test. There is no way to test for what happens to a society when it's been run through language models for a year or two or three. Slack is embedding Jatchi P.T. into Slack. Snapchat is embedding It into its product that reaches kids. Windows is baking it into Bing. Do you think that once they discover, say, some problem that they're just going to withdraw it or retract it from society? No. The government, militaries, other people are rapidly building their whole next systems and raising

A few episodes back, we presented Tristan Harris and Aza Raskin’s talk The AI Dilemma. People inside the companies that are building generative artificial intelligence came to us with their concerns about the rapid pace of deployment and the problems that are emerging as a result. We felt called to lay out the catastrophic risks that AI poses to society and sound the alarm on the need to upgrade our institutions for a post-AI world.

The talk resonated - over 1.6 million people have viewed it on YouTube as of this episode’s release date. The positive reception gives us hope that leaders will be willing to come to the table for a difficult but necessary conversation about AI.

However, now that so many people have watched or listened to the talk, we’ve found that there are some AI myths getting in the way of making progress. On this episode of Your Undivided Attention, we debunk five of those misconceptions.

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Your Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_