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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...
Also have a short lecture talking about this — how are we preparing our students to avoid making such errors? cs533.ekstrandom.net/f22/week10/#...
cs533.ekstrandom.netWeek 10 — Classification (10/24–28) — CS 533 Fall 2022
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