What’s Next for AI | MIT Technology Review
In the US, the Federal Trade Commission is also closely monitoring how companies collect data and use AI algorithms. Earlier this year, the FTC forced weight loss company Weight Watchers to destroy data and algorithms because it illegally collected data about children. At the end of December, Epic, the company that makes games like Fortnite, avoided a similar fate by agree to a $520 million deal. The governing body spent this whole year Collect feedback about potential rules around how companies handle data and build algorithms, and president Lina Khan said speak The agency intends to protect Americans from illegal commercial surveillance and data security practices with “urgency and rigor.”
In China, the authorities have recently forbidden create deepfakes without the consent of the subject. Through the AI Act, Europeans want to add warning signs to indicate that people are interacting with deepfakes or AI-generated images, audio or videos.
All of these regulations could shape how tech companies build, use, and sell AI technology. However, regulators must strike a difficult balance between protecting consumers and not stifling innovation – something tech lobbyists aren’t afraid to remind them of.
AI is a lightning fast growing field and the challenge will be to keep the rules precise enough to be effective but not so specific that they quickly become obsolete. Just like the EU’s efforts to regulate data protection, if the new laws are properly implemented, next year could usher in an era of long overdue AI development with more respect for human rights. with privacy and fairness.
Big tech may lose basic AI research capabilities
AI startups flex their muscles
Big Tech companies aren’t the only players at the pinnacle of AI; an open source revolution has begun to match, and sometimes surpass, what the wealthiest labs are doing.
In 2022, we saw the first community-built multilingual mega-language model, FLOWER, published by Hug Face. We also saw an explosion of innovation around the open source text-to-image AI model Stable Diffusion, OpenAI’s rival. DALL-E 2.