Author: Selin Akgun, Christine Greenhow
Publisher: AI and Ethics
Publication Year: 2022
Summary: The following article discusses the current and proposed uses of artificial intelligence (AI) in promoting educational outcomes for K-12 students. It asserts that, if unchecked, AI algorithms can perpetuate systematic and human biases, especially against groups who are disadvantaged based on factors such as nationality, race, language, or disability. The author does not offer suggestions for how to improve these systems, but rather for how to properly inform students, teachers, and others involved in the education system about how data about them is being used and the ethical questions that should be considered when looking at their methods and outcomes.
