Closing digital divides is good, and increasing diversity in tech fields as good, but I’ve been complaining for years about computer science ed that we stop at the nobility of those goals and don’t ask ourselves about the deeper motivations behind those initiatives. So it is with AI: A more diverse field more available to all is better than what we have, but we also have to ask whether AI education is actually a social good.

A few months ago, some colleagues reached out to ask if I would be willing to record a guest lecture for our library science program’s LIS 600: Information in Society. In particular, they were interested in having me record something for a week on the digital divide. I am conversant on that topic, but it’s not an area of specialty for me, so I was unsure about it until I realized that some of the readings for that week touch on topics like platform design that I am really interested in through my work on social media communities.

Look, I’m glad my university is aware of and responding to the digital divide, but I’d appreciate a more critical treatment of what we’re doing. This sounds almost like ad copy for Apple, and it’s falling into a lot of tired edtech tropes about how technology must necessarily improve learning.

I’d skipped over the story when the Markup reported it, but seeing local coverage of how it plays out locally makes it even worse. Municipal broadband ought to be more common!

Important and enlightening read.