The consent crisis for AI is a result of organizations increasingly walling off their data, threatening the foundational data commons that generative AI relies on.
Shayne Longpre highlights that, unlike previous trends, the rise of generative AI is pushing organizations to not just protect proprietary data, but they are restricting access to public data.
The effectiveness of generative AI models hinges not only on their architecture but prominently on the vast, shared public datasets that are rapidly becoming less accessible.
As organizations impose restrictions on data through measures like robots.txt, the training necessary for AI models risks becoming less effective, limiting AI's future capabilities.
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