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AI Principle: Evaluative judgement

We use evaluative judgement to guide human-AI practices

  • We critically appraise AI, applying discipline-specific and context-specific digital literacies.
  • We evaluate both AI limitations and output quality to ensure informed and effective use and engagement.
  • We harness the opportunities AI affords to support evaluative judgements while ensuring integrity of our work.

What this means in context

Personal, professional and academic practice

  • Staff and students recognise the social, political and cultural biases inherent in AI and draw on diverse views and perspectives to inform thinking and actions.
  • Staff and students are committed to continually deepening their critical digital literacies as the technological landscape becomes more complex.

Knowledge creation and sharing

  • We design ways to develop evaluative judgement about AI in our staff and students.

Institutional leadership and governance

  • Deakin prioritises resourcing that supports deep critical digital literacies development in our people.

Questions to ask

  • Do I have the knowledge to make an informed decision about my use?
  • How might I better understand how to effectively evaluate technology impacts, inputs and outputs?
  • Who benefits from me using this technology?
  • Could using this technology in this context be harmful to someone?

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