The authors assert that their research on the ethics and effects of using AI in education "reveals five qualitatively distinct and interrelated divides associated with access, representation, algorithms, interpretations, and citizenship." I would consider this an alternative, and potentially useful, alternative to my own system of categorization of the ethical issues in AI. What's interesting here is that the authors depict the issues has having a cyclical effect, with each feeding into the next. I wouldn't say it's a deep analysis, but it's clever, and it creates a new audience for truisms like "doing things better is a useful objective, but a more important aspect of [x] is the ways they can enable doing better things" and "students must acquire knowledge and skills underemphasized in current curriculum standards and omitted from today's high-stakes summative tests."
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