Some of the companies, including OpenAI, have been secretive about the data their AI systems have been trained upon. That's made it harder to understand why a chatbot is producing biased or false answers to requests or to address concerns about whether it’s stealingCompanies worried about being liable for something in their training data might also not have incentives to rigorously track it, said Margaret Mitchell, chief ethics scientist at AI startup Hugging Face.
“I think it’s really going to be up to the governments to decide whether this means that you have to trash all the work you’ve done or not," Mitchell said."Of course, I kind of imagine that at least in the U.S., the decisions will lean towards the corporations and be supportive of the fact that it’s already been done. It would have such massive ramifications if all these companies had to essentially trash all of this work and start over.
But in a reflection of how fast AI technology has developed, negotiators in Brussels have been scrambling to update their proposals to take into account general purpose AI systems. Provisions added to the bill would require so-called foundation AI models to disclose copyright material used to train the systems, according to a recent partial draft of the legislation obtained by The Associated Press.
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