The EU wants to regulate your favorite AI tools

While the exact way these models are regulated in the AI ​​Law is still under heated debate, the makers of general purpose AI models like OpenAI, Google and DeepMind will likely need to be more open about how their models are built and trained, says Dragos Tudorache is a Liberal Member of the European Parliament who is part of the team negotiating the AI ​​Act.

It is difficult to regulate these technologies, because there are two different sets of problems with generative models, and they have very different policy solutions,” says Alex Engler, an AI governance researcher at the Brookings Institution. One is the distribution of harmful AI-generated content such as hate speech and pornography without consent, and the other is the prospect of biased results when companies integrate these AI models into recruitment processes or use them to verify legal documents.

Providing additional information about the models may help third parties who create products based on them. But when it comes to spreading malicious AI-generated content, stricter rules are required. Engler suggests that creators of generative models should be required to impose limits on what models will produce, control their results, and block users who abuse the technology. But even that won’t necessarily stop a determined person from spreading toxic things.

While tech companies have traditionally been reluctant to reveal their secret, The current push by regulators for greater transparency and corporate accountability could usher in a new era where AI development is less exploitative and done in a way that respects rights like privacy. It gives me hope for this year.

Deeper Learning

Generative AI is changing everything. But what’s left when the hype is gone?

Each year, MIT Technology Review reporters and editors choose 10 breakthrough technologies that are likely to shape the future. Generative AI, the hottest thing in AI right now, is one of the best this year. (But you can and should read about the other nine technologies.)

What’s the matter: Text-to-image AI models like OpenAI’s DALL-E have taken the world by storm. Its popularity surprised even its own creators. And while we’ll have to wait to see exactly what lasting impact these tools will have on the creative industries and the entire field of AI, it’s clear that this is only the beginning.

What will happen: In the next year, we will likely see AI models that can do a lot of different things, from creating images from text in multiple languages ​​to controlling robots. Ultimately, generative AI could be used to design everything from new buildings to new drugs. “I think it’s legacy,” said Sam Altman, founder of OpenAI, Will Douglas Heaven. “Images, video, audio, everything will eventually be generated. I think it will just seep all over the place.” Read Will’s story.

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