AI Integration Framework
This framework is designed to serve as a guide for integrating the use of AI in education and training settings with diverse adult learners and workers. It outlines critical considerations across six dimensions to ensure the use of AI aligns with educational goals, addresses biases, upholds ethics and privacy, and more. Each dimension includes targeted questions aimed at the technology and the users to facilitate a deeper exploration and understanding, encouraging a thorough evaluation from both a technical and human-centered perspective. To expand AI knowledge and awareness, each dimension contains useful resources and use scenarios, providing further insights and practical understanding, to aid in a well-rounded decision-making process. To see all of questions and considerations connected to each dimension in one place, open it in this spreadsheet.
Click on each dimension to learn more.
AI Capabilities and Learning Goals
Mitigating Biases
Ethics and Data Use
Human Oversight and Overreliance
Evidence of Impact
Equity and Inclusion
AI Capabilities and Learning Goals
Mitigating Biases
Ethics and Data Use
Human Oversight and Overreliance
Evidence of Impact
Equity and Inclusion
The AI Integration Framework was adapted, with permission, from the “Top 6 Questions for GenAI EdTech Providers” resource developed by AI for Education.
Do you have a comment or a question?