How can we avoid the discriminatory design of artificial intelligence in higher ed?
Reported by EdSurge, unchecked, artificial intelligence may tell you that low-income students are a higher risk admission chance, and suggest denying their entry. It may judge teachers on the exit point of the students taking their course and ignore their entry point. It may suggest sunsetting mission-centric degree programs because their operating costs are slightly higher than the business departments’.
The takeaway? Artificial intelligence is only as powerful as the human fencing we put around their tasks. So let us not merely claim to be data-driven, but actively drive the intelligent use of data for good.
May you continue to fight the good enrollment growth fight at your institution today, and we’ll see you again tomorrow.
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