The Problem
Instructional designers using AI may lack clear ethical frameworks, risking accuracy errors, bias perpetuation, privacy violations, and copyright infringement that could harm learners and create legal liability.
Description
This principles-based framework establishes five core ethical pillars for responsible AI use: Transparency, Accuracy, Bias Mitigation, Privacy, and Intellectual Property protection. Each principle includes practical “Poor Practice vs. Best Practice” scenario comparisons showing real-world applications, plus implementation guidelines and a comprehensive 15-point ethics checklist. The document is grounded in 2024 U.S. Department of Education guidelines on algorithmic discrimination and provides actionable steps for building ethics into your AI workflow.