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Evaluating XRL methods by their ability to fix RL agent bugs reveals significant differences in their practical effectiveness, challenging existing assessment paradigms.
Indirect data poisoning can enable scientific fraud at an unprecedented scale, with a staggering 49.56% success rate in corrupting AI-driven research outputs.
Forget AI Safety vs. AI Ethics – the real progress lies in "critical bridging" to tackle shared problems like transparency and governance.