AI can't be made effective or safe if its data and workings are secret, researchers argue.
foundation models in a new transparency index is stoking new pressure on AI developers to share more information about their products — and on legislators and regulators to require such disclosures.say that unless AI companies are more forthcoming about the inner workings, training data and impacts of their most advanced tools, users will never be able to fully understand the risks associated with AI, and experts will never be able to mitigate them.hasn't moved the field toward transparency.
Because 82 of the 100 criteria are met by at least one developer, the index authors say there are dozens of options for developers to copy or build on the work of their competitors to improve their own transparency.to develop precise definitions of transparency requirements,. They advise large customers of AI companies to push for more transparency during contract negotiations — or partner with their peers to "to increase their collective bargaining power.
"Titan Text is still in private preview, and it would be premature to gauge the transparency of a foundation model before it's ready for general availability," Nathan Strauss, an Amazon spokesperson told Axios. Meta, which released the top-rated Llama 2 model, declined to comment. OpenAI did not respond to a request for comment.specific transparency actions.
"We miss out on essential information about negative externalities of companies' most powerful technologies," Klyman said, lamenting the lack of detail about the environmental footprints and overseas workforces contributing to model development.Share on twitter
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