Credit in AI Research
Jürgen critiques the lack of proper crediting in deep learning research, highlighting significant omissions in citations by prominent figures. He emphasizes the importance of acknowledging original contributors, pointing out specific examples from the history of deep learning methods. His call for ethical standards in the field underscores the need for accountability and the self-correcting nature of science.In this clip
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Machine Learning Street Talk (MLST)
Jurgen Schmidhuber on Humans co-existing with AIs
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