Don Monroe
Abstract
It is increasingly important to understand how artificial intelligence comes to a decision.
- Statement on Algorithmic Transparency and Accountability, Association for Computing Machinery US Public Policy Council, Jan. 12, 2017, https://www.acm.org/binaries/content/assets/public-policy/2017_usacm_statement_algorithms.pdf.Google Scholar
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- Fairness, Accountability, and Transparency in Machine Learning Group https://www.fatml.org/.Google Scholar
- Explainable Artificial Intelligence (XAI Project) U.S. Defense Advanced Research Projects Agency https://www.darpa.mil/program/explainable-artificial-intelligence.Google Scholar
- DARPA Perspective on AI U.S. Defense Advanced Research Projects Agency https://www.darpa.mil/about-us/darpa-perspective-on-ai.Google Scholar
- Shneiderman, B. Algorithmic Accountability: Designing for Safety, Radcliffe Institute for Advanced Study, Harvard University https://www.radcliffe.harvard.edu/video/algorithmic-accountability-designing-safety-ben-shneiderman.Google Scholar
Index Terms
- AI, explain yourself
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