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Explainable Artificial Intelligence (XAI)

1 Explainable Artificial Intelligence (XAI) David Gunning DARPA/I2O Distribution Statement "A" (Approved for Public Release, Distribution Unlimited) Watson AlphaGo 2 Explainable AI What Are We Trying To Do? User AI System Sensemaking Operations Why did you do that? Why not something else? When do you succeed? When do you fail? When can I trust you? How do I correct an error? We are entering a new age of AI applications Machine learning is the core technology Machine learning models are opaque, non-intuitive, and difficult for people to understand Dramatic success in machine learning has led to an explosion of AI applications. Researchers have developed new AI capabilities for a wide variety of tasks. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems will be limited by the machine s inability to explain its thoughts and actions to human users.

(discriminative features of the image) with . class definitions (image-independent discriminative features of the class ) A group of people shopping at an outdoor market . There are many vegetables at the fruit stand . Generating Image Captions Generating Visual Explanations Limitations • Limited (indirect at best) explanation of internal logic

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