The bottom line: "AI is most developed for instructional use, especially for monitoring student behavior during exams and ferreting out plagiarism. AI is being used the least for institutional tasks... Immature data governance, concerns about algorithmic bias, and ineffective data management and integration pose the greatest challenges." While I'm not really convinced about the reliability of the data in this 'quickpoll' the results accord with my own observations of the space. And it tells me that there are numerous blind spots in academia when it comes to AI, including algorithmic content creation, assessment, traffic shaping and marketing.
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