Looking-Outwards-08

In this blog, I looked at Adam Harvey’s work and presentation. Harvey is a Interactive Telecommunications graduate of NYU with experiences in engineering and photojournalism at Penn State. In the presentation, he discusses his current projects, frame.io and megapixels.cc. Lots of his work deals with computations that are related to computer vision algorithms. For this specific presentation, it was a lot about the bias involved in surveillance and face recognition. I was really interested in the connection he makes within face recognition. In the lecture, Harvey also makes the unexpected connection between generic heat sensor camera softwares and ITA to aid his introduction. What I found very helpful was the examples he shows, especially short clips that demonstrate how their algorithms work through camera and imaging. Sections of the lecture like the one about the Brainwash Cafe were very helpful in demonstrating the risks in publicizing face recognition datasets and how they can be problematic. I really admired the way he not only showed us precedents of instances of problematic datasets, but he goes beyond to track where these datasets remerges and ends up in, to really demonstrate the risk involved.

(videos could not be embedded)

https://courses.ideate.cmu.edu/15-104/f2022/wp-content/uploads/2022/10/Eyeo-Festival-2019-on-Vimeo.html