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  1. Explainable artificial intelligence (xai), 2017. D Gunning. Seen on 1. , 2017. 40. 2017. Intelligent learning technologies: Applications of artificial intelligence to contemporary and emerging educational challenges. VK Chaudhri, D Gunning, HC Lane, J Roschelle. Ai Magazine 34 (3), 10-12.

  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 · Abstract. 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 artificial intelligence (AI) applications that offer extensive benefits to a diverse range of fields. However, many of these systems are ...

    • David Gunning, Mark Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf, Guang-Zhong Yang
    • 2019
  4. Dec 18, 2019 · 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
  5. Jun 22, 2023 · In his talk, "The AI Journey from 1950s to GPT and Beyond," David Gunning leverages his decades of experience to guide audiences through the evolution of Art...

    • 95 min
    • 134
    • Chad Cloes
  6. 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
  7. 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 ...