Neural Information Processing Systems http://nips.cc/

Fairness and robustness are two important goals in the desig n of modern distributed learning systems. Despite a few prior works attemp ting to achieve both fairness and robustness, some key aspects of this direction remain underexplored. In this paper, we try to answer three largely unnoticed and un addressed questions that are of paramount significance to this topic: (i) What mak es jointly satisfying fairness and robustness difficult?

With a seed set of manually-identified tactics, we apply GPT -4 to expand the discovery automatically.

AI regulation requires harmonization between state and federal approaches, but fragmented policies risk undermining US competitive advantage in this critical technology.