Putting a pause on ChatGPT might not be the answer here...
are among those helping to define what data can and cannot be used to train AI systems, address issues of copyright and licensing, and weigh the special considerations needed for the use of AI in high-risk settings. One critical part of these rules is transparency: requiring the creators of AI systems to provide more information about technical details like the provenance of the training data, the code used to train models, and how features like safety filters are implemented.
But making this kind of information available is not enough on its own. Companies developing AI models must also allow for external audits of their systems, and be held accountable to address risks and shortcomings if they are identified. For instance, many of the most recent AI models such as ChatGPT, Bard, and GPT-4 are also the most restrictive, available only via an API or gated access that is wholly controlled by the companies that created them.
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