Dr Susan E. Ray makes some points worth pondering:

Our students need guidance in navigating these new technologies, and if we fail to teach them how to engage with AI ethically and intelligently, we won’t just widen the skills gap, we’ll reinforce the equity gap, one many of us have spent our careers trying to dismantle. 

It’s time to shift the conversation from fear to responsibility. 

One of the tools she mentions is an AI Transparency Log. While this is a great idea for occasional AI use, once you integrate GenAI into your workflow, I am not sure it is worth the effort.

Of course, transparency is the all important lesson to model and teach, so Dr Ray’s approach is definitely appropriate with students…I applaud her efforts at introducing GenAI, while wondering how effective GenAI detectors really are and if that type of oversight works in the long run.

A Podcast

I found this podcast to be fascinating to listen and down to earth about AI, Cheating, and Trusting Students to be Human. I share it in the same blog entry as Dr Ray’s because cheating, lack of AI use transparency is a big boulder for some people. They can’t see past it or go around it.

Tricia Bertram Gallant does a great job in the podcast and I find myself agreeing. She makes a point that more oral assessments might need to be included:

The potential of pairing written exams with oral assessments—which it turns out students often appreciate

How are you handling that boulder of cheating by GenAI equipped students?