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Researcher with public evidence across AI research.
Paper: arxiv.org/abs/2608.05004 Dataset: huggingface.co/datasets/spi... Code: github.com/jlcmoore/llm...
Queer in AI and oSTEM are launching our 2026-2027 Grad School App Mentorship program! LGBTQIA+ graduate school applicants, you can apply at openreview.net/group?id=Que... to get feedback on your application materials (e.g., CV, personal statement, etc). More info at www.queeri…
Paper: arxiv.org/abs/2608.05004 Dataset: huggingface.co/datasets/spi... Code: github.com/jlcmoore/llm...
Paper: arxiv.org/abs/2608.05004 Dataset: huggingface.co/datasets/spi... Code: github.com/jlcmoore/llm...
Work is here: arxiv.org/abs/2606.11021, done with @dippedrusk.com, @martinmundt.bsky.social, @arjunsubgraph.bsky.social, @jordant.bsky.social, @willie-agnew.bsky.social, @dchechel.bsky.social, Franziska Sofia Hafner, @a-lauscher.bsky.social.
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Automated AI benchmarks are often well-specified and easy to implement and run, and I feel this contributes to their spread in policy and industry despite have many limitations, especially when try to assess human interactions. Can we design and specify human in the loop evaluations like this?
I feel like the AI ethics community has been sidelined to industry workers and leaders in this latest round of fears about over AI, which makes it harder to imagine critical and independent oversight ever been empowered. How does the AI ethics community build power in this moment?
I don't think an NSFW AI model can ever be safe or ethical. Even if it is somehow trained on consensual data, the risk of people generating media of other people nonconsensually is too high, not to mention that this is the explicit goal of many users.
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