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

## TL;DR

This paper compiles innovative ideas from early-career AI educators on integrating ethics, interdisciplinary approaches, and early education in AI, aiming to inspire future developments in AI teaching methods.

## Contribution

It presents a collection of visionary proposals from new AI educators addressing ethics, interdisciplinary teaching, and early education in AI, fostering discussion on future AI education strategies.

## Key findings

- Proposals for integrating ethics into AI curricula
- Ideas for teaching AI at undergraduate and secondary levels
- Strategies to make AI education more interdisciplinary

## 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.