What does it look like to wield machine learning algorithms for good? In “Triple Chase,” the act of building an image recognition system serves here as a way to level power differentials between innocent victims, activists and global arms traders. In this case, the knowledge of where a company is distributing weapons can be wielded against that company’s reputation for justice.
What’s fascinating about Forensic Architecture at large is the use of footage to reconstruct the layers of events that have been lost. Indeed, the leveling power in Forensic Architecture’s approach is this notion of revealing unseen, or intentionally suppressed, relationships. In this sense, I ask what power dynamics reside in the ability to know, uncover, or suppress these relationships?
Speaking of power, the democratization of machine learning processes in libraries like Ml5.js (among others) serves as a way to open up the privilege of new ways of knowing about the world. In what ways can we, as educated technologists, further open up the power of computer vision to artists, activists, and non-technologists?
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