Few AI experiments constitute meaningful tests of hypotheses. As a branch of machine learning research, AI science has concentrated on black box investigation of training time phenomena. The best of this work is has been scientifically excellent. However, the hypotheses tested are mainly irrelevant to user and societal concerns.
https://betterwithout.ai/AI-as-science
This chapter references Chapman's essay, "How should we evaluate progress in AI?" https://metarationality.com/artificial-intelligence-progress
"Troubling Trends in Machine Learning Scholarship", Zachary C. Lipton and Jacob Steinhardt: https://arxiv.org/abs/1807.03341
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