@article{10.1145/3557785.3557789,
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.},
title = {EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program},
year = {2022},
issue_date = {June 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {8},
number = {2},
url = {https://dgarijo.com/papers/blue_sky_cr.pdf},
doi = {10.1145/3557785.3557789},
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.},
journal = {AI Matters},
month = {nov},
pages = {16–21},
numpages = {6}
}

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