The technology is moving pretty fast, faster than the governance on AI. So I think that, you know, as we go further on, that there needs to be accountability, transparency. So transparency in terms of how did the AI come up with what it gave us and what results that we’re seeing I think that we really have to think about sort of setting up you know maybe teams that work together on just verifying checks and balances and feeding that back into the AI so that the AI actually can continuously improve...
The technology is moving pretty fast, faster than the governance on AI. So I think that, you know, as we go further on, that there needs to be accountability, transparency. So transparency in terms of how did the AI come up with what it gave us and what results that we’re seeing I think that we really have to think about sort of setting up you know maybe teams that work together on just verifying checks and balances and feeding that back into the AI so that the AI actually can continuously improve. I mean, ultimately, it’s the humans feeding back the information in by doing verification. So I think having a human in the loop and having that transparency and that representation across different cohorts of patients that were not biased, I think all of those kind of risk factors and trying to mitigate that will help us interpret the AI in a much more efficient and accurate way.
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