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1
Intro
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DARPA Explainable AI
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Why XAI
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Supervised Machine Learning
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XAI Strategy
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XAI Program Goals
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XAI Program Structure
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Heatmaps
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Black Box
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Network Dissection
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Language Translation
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Gann
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Autonomy
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Differentiable Physics
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Surprising Results
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Deep Learning
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Examples
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Results
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Program update
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QA
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Data Analytics vs Autonomy
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Discussion
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correctness of explanations
Description:
Explore DARPA's Explainable Artificial Intelligence (XAI) Program in this keynote address from the IUI2019 conference. Delve into the importance of XAI, supervised machine learning, and the program's strategy and goals. Learn about various XAI techniques, including heatmaps, black box analysis, network dissection, and language translation. Discover applications in autonomy, differentiable physics, and deep learning. Examine surprising results, program updates, and engage in a Q&A session covering topics such as data analytics versus autonomy. Gain insights into the challenges and progress in developing AI systems that can explain their decision-making processes, enhancing trust and understanding between humans and artificial intelligence.

DARPA's Explainable Artificial Intelligence - XAI Program

Association for Computing Machinery (ACM)
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