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

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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