Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas fairness, accountability, transparency and ethics (FATE). We begin by establishing need for such education identifying intended consumers educational materials on topic. discuss topics greatest concern resources; we also survey existing past experiences education, noting scarcity suitable material aspects fairness particular. use an example a college admission platform to illustrate our ideas. conclude with recommendations further work area report first steps taken towards achieving this goal framework academic graduate seminar course, summer school, embedded lecture software engineering workshop high school teachers.