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

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Mitigating Biases

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Ethics and Data Use

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Human Oversight and Overreliance

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Evidence of Impact

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Equity and Inclusion

AI Capabilities and Learning Goals

Understanding AI’s capabilities and limitations ensures the technology aligns with educational goals and can be effectively integrated into learning environments.

Mitigating Biases

Addressing biases in AI systems requires action by both technology developers and end-users. This is crucial to ensure equitable learning experiences for all students.

Ethics and Data Use

Evaluating ethics, privacy, and data use is essential to protect users’ data and ensure the AI solution upholds ethical standards.

Human Oversight and Overreliance

Ensuring human oversight in AI systems prevents overreliance on technology and maintains educational integrity.

Evidence of Impact

Assessing evidence of impact and aligning it with existing benchmarks verifies that the AI solution effectively enhances educational outcomes.

Equity and Inclusion

Ensuring the AI solution, and its implementation, is equitable, accessible, and inclusively designed is fundamental to cater to all learners’ needs.

The AI Integration Framework was adapted, with permission, from the “Top 6 Questions for GenAI EdTech Providers” resource developed by AI for Education.

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