I don't doubt that data processing techniques are important for all kinds of science, including medical science. But I don't think that this is the same thing as saying "we can't possibly think about slowing down in the development of LLMs because AI will cure cancer".
@emilymbender
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LLMs Lack Justification Compared to Machine Learning Applications
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So, machine learning not LLMs — there's **no justification** to calling out to these potential applications as an upside of pursuing LLMs (and all their attendant harms).
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AI’s Role in Medical Research: Protein Folding and Data Quality
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I think the case for "AI" helping with medical research might come from the work on protein folding–crucially a supervised machine learning project with extremely high quality data behind it–but I've never even seen the case re climate change expanded.
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Media bias: forced positivity narratives despite documented AI harms
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It's part and parcel of that annoying trope of having to pay lip-service to the supposed up-sides of "AI" even in reporting about the actual (documented, really happening) harms & risks of further harm. >>
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AI Marketing Talking Points: Disease Cures and Climate Solutions
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Anyone noticed that when folks get even a little specific about the supposed benefits of "AI" the call outs are often "curing disease" (sometimes specifically cancer and/or Alzheimer's) & "addressing climate change"? I'm hearing it enough to wonder where the talking pts come from
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System Safety Boundaries and Reasonable Use Cases
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To my knowledge, no one was hurt. But I think this case is instructive for what might happen in similar situations when the boundaries of reasonable use of the system are less obvious.
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Synthetic Media Systems Must Handle Unpredictable User Inputs
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Today's case study in: If you're going to set up a synthetic media machine where anyone can access it, you'll need to account for people throwing all kinds of random stuff at it. >>
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Policymakers Must Examine AI Harms and Automation Risks
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"We urge policymakers to instead draw on solid scholarship that investigates the harms and risks of AI—and the harms caused by delegating authority to automated systems" w/
@alexhanna in @scientificamer -
Deconstructing AI Hype: Regulation and Corporate Accountability
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This is TODAY! Join me and @alexhanna as we take apart AI hype in the context of discussions of regulating (the companies that make) "AI". 1:30pm Pacific, https://
twitch.tv/dair_institute -
Radical AI Podcast Ends But Legacy Continues Through Resources
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So sorry to hear that the amazing Radical AI Podcast has come to an end. The good news is that the amazing resource @_jessiejsmith_ and @Dylantdoyle have created will persist.