There are different stakeholders in this AI and cancer conversation. We have clinicians, we have patients, we have industry, all these people that are part of the AI conversation. But I think the concern that’s really driven by this study is increasingly patients are using AI for health information. Patients are turning to online resources for information. And so it’s important that they understand that when we find that information online, that there’s risks that AI could hallucinate, that it could provide misinformation...
There are different stakeholders in this AI and cancer conversation. We have clinicians, we have patients, we have industry, all these people that are part of the AI conversation. But I think the concern that’s really driven by this study is increasingly patients are using AI for health information. Patients are turning to online resources for information. And so it’s important that they understand that when we find that information online, that there’s risks that AI could hallucinate, that it could provide misinformation. And so without that education piece, you know, what happens if AI causes harm? And who is responsible for that? And how do we handle potential conflict or discordance between what the clinician is recommending and what AI is recommending, right? And I think it comes down to there’s still the art of medicine where we take guidelines and we apply them to each patient. But I think it’s this broader question of how does the content that our patients are consuming online impact outcomes? And we have to remember that what comes from generative AI is the prompt that is fed into generative AI. And so how you ask AI impacts what you get. And so if we don’t educate the community on this, what you’re inputting may impact the output and then ultimately impact cancer outcomes.
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