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Computer Science > Artificial Intelligence

arXiv:1702.00137 (cs)
[Submitted on 1 Feb 2017]

Title:Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program

Authors:Eric Eaton, Sven Koenig, Claudia Schulz, Francesco Maurelli, John Lee, Joshua Eckroth, Mark Crowley, Richard G. Freedman, Rogelio E. Cardona-Rivera, Tiago Machado, Tom Williams
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Abstract:The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI 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 Artificial Intelligence (AI) courses incorporate 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?
This paper is a collection of their responses, intended to help motivate discussion around these issues in AI education.
Comments: Working paper in the 7th Symposium on Educational Advances in Artificial Intelligence (EAAI-17)
Subjects: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
Cite as: arXiv:1702.00137 [cs.AI]
  (or arXiv:1702.00137v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.1702.00137
Journal reference: AI Matters 3(4):23-31, Winter 2018
Related DOI: https://doi.org/10.1145/3175502.3175509

Submission history

From: Eric Eaton [view email]
[v1] Wed, 1 Feb 2017 05:16:55 UTC (21 KB)
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