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Learning about surveillance

July 3rd, 2020 by Graham Attwell
eye, surveillance, privacy

GDJ (CC0), Pixabay

I found this on the Social Media Collective website. The Social Media Collective is a network of social science and humanistic researchers, part of the Microsoft Research labs in New England and New York.

Yesterday the Wayne County Prosecutor publicly apologized to the first American known to be wrongfully arrested by a facial recognition algorithm: a black man arrested earlier this year by the Detroit Police. The statement cited the unreliability of software, especially as applied to people of color.

With this context in mind, some university and high school instructors teaching about technology may be interested in engaging with the Black Lives Matter protests by teaching about computing, race, and surveillance.

I’m delighted that thanks to the generosity of Tawana Petty and others, ESC can share a module on this topic developed for an online course. You are free to make use of it in your own teaching, or you might just find the materials interesting (or shocking).

The lesson consists of a case study of Detroit’s Project Green Light, a new city-wide police surveillance system that involves automated facial recognition, real-time police monitoring, very-high-resolution imagery, cameras indoors on private property, a paid priority response system, a public/private partnership, and other distinctive features. The system has allegedly been deployed to target peaceful Black Lives Matter protesters.

Here is the lesson:

Race, Policing, and Detroit’s Project Green Light

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This entry was posted on Friday, July 3rd, 2020 at 09:58 and is filed under #AIinEd, AI, Pedagogy, teaching and learning, Wales Wide Web. You can follow any responses to this entry through the RSS 2.0 feed. Both comments and pings are currently closed.

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