Interpretable Algorithms
Oliver emphasizes the importance of interpretability in AI models, noting that as algorithms grow more complex, understanding their interactions becomes crucial. He highlights the ethical implications of algorithmic decision-making in sensitive areas like autonomous driving and lending, advocating for a shift towards reducing bias rather than striving for perfection. His optimistic view suggests that leveraging algorithms could lead to meaningful improvements in current systems.In this clip
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The AI Podcast
SAS Chief Operating Officer Oliver Schabenberger - Ep. 88
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