Monthly Archive: March 2017

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AI Bias is Pervasive Even When You Think It Isn’t

We’ve been working recently to bring our web site into compliance with ADA requirements, and one of our big issues is 300+ hours of video without closed captioning or transcripts.  While we’re putting process and policy in place to ensure new videos have this, we’ve been trying to figure out the best way to deal with transcribing all the old material.  Enter IBM’s Watson.

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Using Smart Little Data to Help Students with Financial Aid

I’m pretty sure Bryan Alexander’s Paying the Price reading group has finished, but I wanted to share one last idea inspired by the last bit of Sara Goldrick-Rab’s book.  In Chapter 10, Dr. Goldrick-Rab lays out a number of ways we could help make the financial aid system work better (or, arguably at all) for students, including the idea that states and and public colleges (although there’s an argument to be made for all colleges to participate) layout the real cost of attendance for students over their four years to help them better plan.  I think that’s a great idea, but I feel like maybe it doesn’t go far enough.  Or more accurately, I think there’s a companion to this that could help students even more.

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A Tale of Two AIs

At ELI last month I had the opportunity to hear Dr. Satya Nitta speak twice on IBM’s Watson AI system (I also got some conference crud that turned into Bronchitis, so I’m really late posting this).  My first opportunity was in a session  sponsored by the EDUCAUSE Leading Academic Transformation  group that was a more informal Q&A session (which, full disclosure, I helped facilitate), and the second was his morning keynote.  What struck me was how different these two engagements were and how much different the take-away likely was depending on which session you attended. So this isn’t really a tale of two AIs but rather a different telling of one AI.

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