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Open Access Publications from the University of California

AI Without Math: Making AI and ML Comprehensible

  • Author(s): MCarl, Ryan
  • Lobana, Jodie
  • von Stackelberg, Heather
  • Schell, Kristen
  • Leschchinskiy, Brandon
  • Humaidan, Dania
  • Singh, Gursimran
  • et al.

If we want nontechnical stakeholders to respond to artificial intelligence developments in an informed way, we must help them acquire a more-than-superficial understanding of artificial intelligence (AI) and machine learning (ML). Explanations involving formal mathematical notation will not reach most people who need to make informed decisions about AI. We believe it is possible to teach many AI and ML concepts without slipping into mathematical notation.

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