India, Dec. 13 -- Truth in labeling is a powerful concept in commercial governance. It ensures that consumers know exactly what they're getting, what the caveats and advisories may be, and what the risks they might be incurring if they use a product in ways that its makers don't endorse.

It's about time that we brought truth in labeling to the artificial intelligence that is finding its way into so many commercial products. What that requires is some standardized approach for making transparent the precise provenance of a trained, deployed AI model. Just as important, it requires full disclosure of the various contexts in which AI models have been tested and certified to be suitable for their intended application domains, as well as any ...