Raw LLM Responses

Dr. Dean Fido CPsychol AI review is a large amount of work, often outside personal expertise at least in politics that is heterogenous as a field, often operating from pilot processes (we have a new AI declaration the students sign that is the basis of the review this year) and if it goes rampant, I had 26 cases in a class last year, it is a month of work that is not properly workloaded. The advantage of our new AI declaration is that it allows for class level customisation. So in one of my classes I piloted a -30 points flat punishmrnt for hallucination they can challenge with an office hour discussion with me that would determine if it was a honest mistake instead. Got a few, nobody challenged them. I did not involve AI officers. But agentic AI can mechanically cross-check references, particularly if you load all the sources, so this way of catching AI misuse is disappearing. An agent writes the essay or corrects it adfing references, one downloads the pdfs, one does the cross-check, ranks probability of hallucinations, and then the student does a manual cross-check. Maybe a couple of hours of work, perfect referencing, zero reading and learning (apart for a bit of AI agent setup following youtube videos).