Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program

Author:

Eaton Eric1,Koenig Sven2,Schulz Claudia3,Maurelli Francesco4,Lee John5,Eckroth Joshua6,Crowley Mark7,Freedman Richard G.8,Cardona-Rivera Rogelio E.9,Machado Tiago10,Williams Tom11

Affiliation:

1. University of Pennsylvania

2. University of Southern California

3. TU Darmstadt

4. Jacobs University Bremen

5. Antioch University

6. Stetson University

7. University of Waterloo

8. University of Massachusetts Amherst

9. University of Utah

10. New York University

11. Tufts University

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: 1. How could/should Artificial Intelligence (AI) courses incorporate ethics into the curriculum? 2. How could we teach AI topics at an early undergraduate or a secondary school level? 3. 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.

Publisher

Association for Computing Machinery (ACM)

Reference8 articles.

1. High School Outcomes for Students in a Public Montessori Program

2. What is a knowledge representation;Davis R.;AI Magazine,1993

3. Ten Challenges for Making Automation a "Team Player" in Joint Human-Agent Activity

4. U.S. Department of Health and Human Services. 2009. 45 CFR 46.111: Criteria for IRB approval of research. Technical report. U.S. Department of Health and Human Services. 2009. 45 CFR 46.111: Criteria for IRB approval of research. Technical report.

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