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Shreya Dalela's avatar

This was a gripping, high-stakes read—thank you, Chara, for laying out the ethical tightrope of AI security research so vividly. The “transparency trap” isn’t just a theoretical dilemma anymore; it’s already shaping how we build, trust, and regulate AI systems. The RAS-Eval case especially exposes how academic intent can collide with real-world exploitation.

I appreciate the proposed solutions around staged disclosures and defensive-first publication standards. But I can’t help wondering—are we moving fast enough to build global consensus around these frameworks? In a field evolving this rapidly, what’s the path for researchers who want to do good without doing harm?

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Jan Skora's avatar

Exactly that! That's why I hope that the majority of alignment research happens behind closed doors, in secrecy from the public (and AI!) eye.

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