Science

EU wants to regulate your favorite AI tools – Reuters

While exactly how these models will be regulated in AI law is still hotly debated, general purpose AI model makers like OpenAI, Google and DeepMind should probably be more open about how their models are built and trained. Dragos Tudorache is a Liberal Member of the European Parliament who is part of the negotiating team on the AI ​​law.

Regulating these technologies is difficult because there are two different sets of problems with generative models and they have very different policy solutions, says Alex Engler, AI governance researcher at the Brookings Institution. One is the dissemination of harmful AI-generated content such as hate speech and pornography without consent, and the other is the potential for distorted results when companies integrate these AI models into business processes, hire them, or use them to review 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 needed. Engler suggests that creators of generative models should be required to impose limits on what models will produce, control their output, and block users who abuse the technology. But even this will not necessarily stop a determined person from spreading toxic substances.

While tech companies have always been reluctant to reveal their secret, the current push by regulators for greater corporate transparency and accountability could usher in a new era where AI development is less exploitative and 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 revolutionary technologies that could change 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 going on: 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 AI ​​field in general, it’s clear that this is only the beginning.

What’s coming: Next year, we’re likely to see AI models that can do a lot of 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 a legacy,” OpenAI founder Sam Altman said in an interview with Will Douglas Heaven. “Images, videos, audio, everything will eventually be generated. I think it’s just going to seep all over the place. Read Will’s story.

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