Following up on last week’s post about higher education focusing on the wrong AI emergency, my latest Substack shifts from the problem to the solution.
If we want graduates to thrive in an AI-integrated world, a generic “AI literacy” module won’t cut it. Instead, we need to develop professionals who can think and work alongside AI with critical independence.
In this week’s post, I break down the core competencies we must weave into our teaching:
- Critical Evaluation: Moving beyond basic fact-checking to develop the disciplinary judgment required to assess whether an AI output is appropriate and ethically sound for a specific context.
- Prompt Literacy: Treating problem decomposition and query formulation as fundamental critical thinking skills.
- Ethical Reasoning: Navigating bias, data privacy, and having the judgment to know when AI is simply the wrong tool for the job.
- The Irreducibly Human: Assessing what machines cannot replicate, such as empathy, creative originality, moral courage, and contextual wisdom across all five domains of learning.
We can’t just add a standalone “AI skills” unit and leave the rest of the curriculum unchanged; that’s just rearranging the deck chairs. This shift requires true integration, fundamentally redesigned assessments, and meaningful faculty development.
Read the full post to explore the framework for a curriculum that genuinely prepares students for the future of work: