GPT · Claude · IEEE Spectrum AI
Guarding the Gates of Knowledge
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The November issue of IEEE Spectrum is here!
Key facts
- For this month’s Five Questions, Strickland interviewed Ellia Lebleu, a founding member of WikiProject AI Cleanup, a volunteer effort to detect and delete AI-generated material from the platform
- Remember the good old days of GPT-3 when they could ask the chatbot anything and it would almost instantly and confidently spit back a plausible but false answer
- As Strickland put it, “Doesn’t it feel crazy that they'll have AI writing for other AIs at some point
- He hit ‘run experiment’ and ‘write paper.’ And then he didn’t do a damn thing to it.” —Eliza Strickland
Summary
Remember the good old days of GPT-3 when they could ask the chatbot anything and it would almost instantly and confidently spit back a plausible but false answer? That’s when the word “hallucination” as applied to AI answers entered the lexicon. Apply that maxim at scale to maintain the integrity of the scientific record and you get an idea of the challenge facing publishers of peer-reviewed scholarship. “He hit ‘run experiment’ and ‘write paper.’ And then he didn’t do a damn thing to it.” —Eliza Strickland. As features and AI beat editor Eliza Strickland told me, Skuse was surprised at how effortless it was to generate a paper that was more or less plausible and more or less science. Skuse discovered that the combination of IEEE’s human-review processes and research-integrity checker programs are currently keeping pace in what amounts to a cat-and-mouse game against people using free tools.