Disclaimer: This podcast is completely AI generated by NoteBookLM 🤖 Summary In this episode we discuss this paper, which provides a retrospective look at the Defense Advanced Research Projects Agency's (DARPA) Explainable Artificial Intelligence (XAI) program. The program, which ran from 2017 to 2021, aimed to develop techniques to improve the transparency and explainability of artificial intelligence (AI) systems. The paper summarises the program's goals, structure, and research findings, including the development of explainable learning approaches, psychological models of explanation, and evaluation methods. It concludes that the XAI program has made significant contributions to the field, despite the challenges of measuring the effectiveness of explanations and the need for further research in this area.
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