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I don't think people with existing skills will ever adopt generative AI as part of their daily practice. Instead, I think we're going to see lines drawn in the sand. After all, the folks who have those skills worked to establish them, often spending years honing such skills and going into debt to establish mastery in their fields. I fully expect to see many people bias generative AI as a form of cheating. Early testing shows that those with underdeveloped or emerging skills rather than those who have mastered skills are the most likely to benefit from adopting generative AI in their jobs. This suggests that such adoption could benefit those unprepared, unmotivated, and struggling students the most. It also suggests that their higher-performing peers will see the least amount of help from adopting generative AI. What's lost in this is we want as many students as possible to develop mastery in skills for their studies and their future careers, not use generative AI as a crutch to help them pass. ... I said this last year and think it rings truer today-the mark of future mobility will not be having access to a college education. Rather, it will be if you could afford to go to an institution where a human being taught you or if you had to attend one where you learned from an algorithm.

" In truth, generative AI is statistically going to be more accurate and right on anything I will come up with for answers regarding weather and climate, geology, or quantitative analysis. That is, even if it is wrong on some things, it is going to be more right than I ever will be and even if it is wrong, I'm not going to know it. Still-better chances of it figuring things out in that domain than me. However, if I want to be deeply knowledgeable in a particular domain, I want to be quite careful in how I use generative AI because it would be incredibly important for me to understand its limitations and aim to always have a better and deeper understanding of the subject and the way the AI tool might not get it. This leads me to think that what we might see in the future is more splitting of the core curriculum to be "Discipline 101" and "Discipline 101 for majors". So there is a generalized History, Science, Comp, etc that more actively considers the role of generative AI for students and then, a "History 101 for History Majors" that focuses more specifically on the exact skills needed to understand the discipline in a way that can more effectively discerned from Generative AI. "

"The web and technology associated with sensory impairments are where it is at right now," Davis said in an email. "The virtual and digital world has replaced the physical world as the locus for discrimination and barriers."