EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program

Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan

AI Matters

2022

Abstract

The 12th Symposium on Educational Advances in Artificial Intelligence (EAAI-22, cochaired by Michael Guerzhoy and Marion Neumann) continued the AAAI/ACM SIGAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend a career in academia). As part of the program, awardees were asked to address one of the following 'blue sky' questions: How could/should AI courses incorporate AI Ethics into the curriculum? How could we teach AI topics at an early undergraduate or a secondary school level? AI has the potential for broad impact to numerous disciplines. How could we make AI education more interdisciplinary, specifically to benefit non-engineering fields? How should standard AI courses evolve? How could we leverage AI education to promote diversity in the field? This paper is a collection of their responses, intended to help motivate discussion around these issues in AI education.

Topics:AI Literacy

BibTeX

@article{guerzhoy-ai-matters-2022,
  title     = {EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program},
  author    = {Guerzhoy, Michael and Neumann, Marion and Johnson, Emmanuel and Johnson, David and Chai, Henry and Garijo, Daniel and Lyu, Zhuoyue and MacLellan, Christopher J.},
  journal   = {AI Matters},
  volume    = {8},
  number    = {2},
  pages     = {16-21},
  year      = {2022},
  doi       = {10.1145/3557785.3557789},
}

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