@magazinearticle {1500621,
	title = {Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences},
	journal = {AI Magazine (To appear)},
	year = {2017},
	abstract = {In recent years, AI-based applications have increasingly been used in real-world domains. For example, game theorybased decision aids have been successfully deployed in various security settings to protect ports, airports, and wildlife.
This paper describes our unique problem-to-project educational approach that used games rooted in real-world issues
to teach AI concepts to diverse audiences. Specifically, our educational program began by presenting real-world
security issues, and progressively introduced complex AI concepts using lectures, interactive exercises, and ultimately
hands-on games to promote learning. We describe our experience in applying this approach to several audiences,
including students of an urban public high school, university undergraduates, and security domain experts who protect
wildlife. We evaluated our approach based on results from the games and participant surveys.},
	author = {Sintov, Nicole and Kar, Debarun and Nguyen, Thanh and Fang, Fei and Hoffman, Kevin and Lyet, Arnaud and Tambe, Milind}
}
