AI in Auditing
Kathryn highlights the critical need for certainty in systems used for auditing, where errors cannot be tolerated. She discusses the ethical implications of machine learning, particularly when certain populations are underrepresented in data sets. Drawing from Jonathan's insights, she emphasizes the importance of clearly defining objective functions, using the example of recidivism prediction algorithms to illustrate how misinterpretations can lead to significant consequences.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210
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