Post

Michael Ekstrand
@md.ekstrandom.net

<taps the sign> it is basically always a category error to use physical attributes to predict socially-contingent or constructed classes of actions. We should avoid such category errors as a matter of scientific rigor.

Jedidiah Carlson@jedidiahcarlson.com

bro are you fucking kidding me

Michael Ekstrand
@md.ekstrandom.net

Our forthcoming NeurIPS position paper, led by @aolteanu.bsky.social, makes this argument (along with several related ones) in more depth. Rigorous AI/ML work should flow from explicit and rigorous premises, not just have a final evaluation that checks some rigor boxes. arxiv.org/abs/2506.14652

arxiv.orgRigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of RigorIn AI research and practice, rigor remains largely understood in terms of methodological rigor -- such as whether mathematical, statistical, or computational methods are correctly applied. We argue th...

2 reposts5 likes