Support for Generative AI in an educational context is unfortunately considered to be a binary state. Either you are all in or all out, with no room for an argument of ethical adoption. And that is just not a healthy approach to what we are putting in front of our future students. If we want them to pass high stakes exams to become doctors and scientists, we need to give them the learning resources to do so.
I have studied ML classification algorithms, spent 1.5 years working in generative AI, helped to write curriculum for courses on AI, and generally just find the subject matter interesting. I have been dismissed from two positions within weeks of providing quantitative analyses of the quality of automated tasks. My academic advisor attempted to accuse me of academic misconduct in an effort to prevent me from graduating with my PhD after realizing the results of my dissertation suggested a more careful approach to automation. I lost the battle but I won the war on that one, being forced to graduate with my degree but without my dissertation (using past published papers instead).
As a quantitative analyst who has worked in the field, my opinion is that AI is a fantastic tool with significant shortcomings. I will be posting my thoughts an opinions here, results from my personal work in GenAI.
PigTailz 