We want accurate AI, right? As long as it’s accurate, we’re all good? My guest, Will Landecker, CEO Accountable Algorithm, explains why accuracy is just one metric among many to aim for. In fact, we have to make tradeoffs across things like accuracy, relevance, and normative (including ethical) considerations in order to get a usable model. We also cover whether explainability is important and whether it’s even on the menu and the risks of multi-agentic AI systems.

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