T14

Ethics, Equity & Responsible LE

Algorithmic fairness in adaptive systems; data privacy; equity in access; avoiding automation bias in assessment.

3 resources tagged with this topic

Concepts in this topic

AI Ethics & Responsible Use in Learning Evaluate

Builds on: AI & Foundation Models in Education

Ethics & Equity in Learning Engineering Evaluate

U.S. Department of Education · U.S. Department of Education, Office of Educational Technology · 2023

Rene F. Kizilcec, Hansol Lee · Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency · 2022

Rachel Van Campenhout · Adaptive Instructional Systems (HCII 2021), Lecture Notes in Computer Science 12792 · 2021

Van Campenhout frames learning engineering as an explicit ethical practice in adaptive instructional systems design and evaluation.