Allyson Ettinger, assistant professor at the University of Chicago, discuss how she approaches assessing the competencies of AI, the value of control of confounding variables in AI research, and how the pattern matching traits of Ml/DL models are not necessarily exclusive to these systems.

She also discuss ways in which we can try to more closely simulate the functioning of a brain, where her work fits into the analysis and interpretability area of NLP, and much more!

 

DURATION: 36 minutes

SOURCE: Twiml AI Podcast

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