Master of Education Degree Thesis by Dana Remian. University of Massachusetts Boston.
Artificial intelligence (AI) has existed in theory and practice for decades, but applications have been relatively limited in most domains. Recent developments in AI and computing have placed AI-enhanced applications in various industries and a growing number of consumer products. AI platforms and services aimed at enhancing educational outcomes and taking over administrative tasks are becoming more prevalent and appearing in more and more classrooms and offices. Conversations about the disruption and ethical concerns created by AI are occurring in many fields. The development of the technology threatens to outpace academic discussion of its utility and pitfalls in education, however. Conversations about the disruption and ethical concerns created by AI are occurring in many fields. To ensure that AI in education serves learners and educators and that ethical concerns are answered or mitigated, the field must first clarify what those concerns are. This paper surveys academic and trade literature and draws upon a parallel questionnaire deployed to define existing and emerging ethical concerns of AI in education.