# 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  
**arXiv:** [1702.00137](https://arxiv.org/abs/1702.00137)  
**Date:** 2017-02-01  
**Summary page:** https://www.summarizepaper.com/en/paper/1702.00137v1/

## Key points

- The EAAI'17 Symposium launched the EAAI New and Future AI Educator Program
- The program supports early-career university faculty, secondary school faculty, and future educators pursuing academia
- Awardees addressed "blue sky" questions on incorporating ethics into AI courses, teaching AI at an early level, and promoting interdisciplinary education
- Eric Eaton and Sven Koenig are among the awardees who provided responses
- Ethical considerations in AI courses should be addressed, with case studies used to understand their implications
- Interactive activities can be used to teach AI at an early level
- Existing resources should be leveraged for accessibility in AI education
- Courses should be designed with applications of AI in various fields to promote interdisciplinary collaborations

## Summary

The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17) launched the EAAI New and Future AI Educator Program to support early-career university faculty, secondary school faculty, and future educators pursuing academia. Awardees addressed "blue sky" questions on incorporating ethics into AI courses, teaching AI at an early level, and promoting interdisciplinary education. This paper presents responses from awardees like Eric Eaton and Sven Koenig to stimulate discussions on these issues. The authors stress the importance of addressing ethical considerations in AI courses and using case studies to understand their implications. They suggest interactive activities for teaching AI at an early level and leveraging existing resources for accessibility. To promote interdisciplinary collaborations, they recommend designing courses with applications of AI in various fields. Overall, this paper provides valuable insights for improving inclusive and impactful AI education.