XAI—Explainable artificial intelligence

Article Tools

• Email

  Thank you for your interest in spreading the word about Science Robotics.

  NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

  Your Email

  Your Name

  Send To

  Enter multiple addresses on separate lines or separate them with commas.

  You are going to email the following XAI—Explainable artificial intelligence

  Message Subject (Your Name) has forwarded a page to you from Science Robotics

  Message Body (Your Name) thought you would like to see this page from the Science Robotics web site.

  Your Personal Message

  CAPTCHA

  This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

  Send Message
• Download Powerpoint
• Print
• Alerts

  Please log in to add an alert for this article.

  Log In with your AAAS ID

  Sign In to Email Alerts with your Email Address

  Email

  Log in
• Citation tools

  XAI—Explainable artificial intelligence

  By David Gunning, Mark Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf, Guang-Zhong Yang

  Science Robotics18 Dec 2019

  Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.

  Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
• Share

  XAI—Explainable artificial intelligence

  By David Gunning, Mark Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf, Guang-Zhong Yang

  Science Robotics18 Dec 2019

  Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.

  Share This Article: Copy