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[ARTICLE · art-25431] src=markcarrigan.net pub= topic=artificial-intelligence verified=true sentiment=↑ positive

The OU Framework for the Learning and Teaching of Critical AI Literacy Skills

The Open University has released a Critical AI Literacy framework designed to help staff and students develop skills in evaluating AI tools and addressing ethical issues such as bias, deepfakes, and data privacy. The framework provides practical actions, including criteria for assessing AI functionality and security, and promotes responsible use by requiring consent for personal data and discouraging misinformation. This approach integrates programme development with staff training by offering clear learning objectives for embedding critical AI literacy into teaching.

read1 min publishedJun 12, 2026

I found this a really helpful approach from the Open University. Firstly, identify the elements of critical digital literacy the institution wants staff and students to cultivate:

Then offer staff a practical list of the actions associated with each of the elements, such as those listed for AI ethics in the report:

  • Use key criteria to evaluate AI tools (e.g. functionality, accessibility, privacy,

security, copyright). - Engage with ethical issues related to AI, such as bias, deepfakes, copyright

infringement, data security and privacy, with a focus on AI- based creativity. - Consciously take account of ethical issues by acting in a way that promotes responsible use of AI, e.g. asking for consent before using personal data,

refraining from spreading misinformation.

I think this is how you integrate programme development and staff development. The criteria can provide ILOs which can be incorporated into programme development (i.e. what does ’embedding critical AI literacy’ into teaching actually mean?) while also providing workable objectives for staff development.

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