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

AI matters Pub Date : 2022-06-01 DOI:10.1145/3557785.3557789
Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan
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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.
EAAI-22来自AAAI/ACM SIGAI新未来人工智能教育者计划的人工智能教育蓝天理念
第12届人工智能教育进展研讨会(EAAI-22,由Michael Guerzhoy和Marion Neumann共同主持)继续了AAAI/ACM SIGAI新的和未来的人工智能教育者计划,以支持早期职业大学教师、中学教师和未来的教育者(博士生或打算在学术界从事职业的博士后)的培训。作为该项目的一部分,获奖者被要求回答以下“蓝天”问题之一:•人工智能课程如何/应该将人工智能伦理纳入课程?•我们如何在本科或中学早期教授人工智能主题?•人工智能有可能对许多学科产生广泛影响。我们如何使人工智能教育更加跨学科,特别是让非工程领域受益?•标准人工智能课程应该如何发展?•我们如何利用人工智能教育来促进该领域的多样性?本文收集了他们的回应,旨在帮助激发人工智能教育中围绕这些问题的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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