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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