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  1. David Gunning. Retired. Verified email at gunning.ws. artificial intelligence human-computer interaction. Title. Sort. Sort by citations Sort by year Sort by title. Cited by.

  2. Dec 4, 2021 · David Gunning (now retired) is a three-time DARPA program manager, who created and managed the XAI program from its inception in 2016 to its mid-point in 2019. His portfolio of DARPA research programs made significant contributions to the development of AI over the past 25 years.

  3. Dec 18, 2019 · David Gunning, Mark Stefik , Jaesik Choi, Timothy Miller, [...] , and Guang-Zhong Yang. +1 authors Authors Info & Affiliations. Science Robotics. 18 Dec 2019. Vol 4, Issue 37. DOI: 10.1126/scirobotics.aay7120. Abstract. Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.

    • David Gunning, Mark Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf, Guang-Zhong Yang
    • 2019
  4. In this episode of the Voices from DARPA podcast, David Gunning chronicles his three tours of duty as a DARPA program manager (PM), including his latest tour...

    • 41 min
    • 5K
    • DARPAtv
  5. Dec 18, 2019 · Authors. David Gunning 1 , Mark Stefik 2 , Jaesik Choi 3 , Timothy Miller 4 , Simone Stumpf 5 , Guang-Zhong Yang 6. Affiliations. 1 Defense Advanced Research Projects Agency (DARPA), 675 North Randolph Street, Arlington, VA 22201, USA. dgunning@fb.com gzyang@sjtu.edu.cn.

    • David Gunning, Mark Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf, Guang-Zhong Yang
    • 2019
  6. XAI—Explainable artificial intelligence. David Gunning1*†, Mark Stefik2, Jaesik Choi3, Timothy Miller4, Simone Stumpf5, Guang-Zhong Yang6†. Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. Recent successes in machine learning (ML) have led to a new wave of ...

  7. The Need for Explainable AI. Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own.