Audience, verb, successful?

Who was the audience for each?

What was the verb?

Was it successful in enacting that verb?

Also – these projects are all a few years old – what does it mean to do this project right now!?

Or, like raphael lozano-hemmer’s project: is there a more specific application of face detection you’re interested in? for instance, the school example was interesting – does your installation mimic a classroom?

https://www.lozano-hemmer.com/level_of_confidence.php

Level of Confidence is an art project to commemorate the mass kidnapping of 43 students from the Ayotzinapa Rural Teachers’ College in Iguala, Guerrero, Mexico.

1. Audience: for people who are willing to help, people who disagree with these police technologies are used
2. Verb: subverts, create empathy, maintain visibility on the tragedy
3. It was successful in using this tragedy to create empathy and a way to generate funds for the community, also mentions the police technologies to use it in a totally different way: instead of looking for suspicious culprits but search for the victims.

https://kcimc.medium.com/working-with-faces-e63a86391a93

1. Audience: for people who disagree with the use of face analysis software which continues to grow, enhance the feeling; for white Ameracan who never confronted how whiteness operates
2. Verb: critical, create increasingly uncomfortable criteria, admit the individual complicities and universal dignity
3. It was successful that start with a simple smile and sunglasses, then gradually become to focus on race, criminality, or sexual orientation. In this way, users experience for themselves how we are seen by the algorithms that are increasingly running the world with the increasingly uncomfortable feeling.

https://www.eyebeam.org/kyle-mcdonald-against-fa/

1. Audience: people against face analysis, against the violence of the police and carceral system that is an extension of slavery.
2. Verb: subvert and misuse, critique, weaken
3. It is successful in research and also found out the problems under the system, which is built on violence

https://www.engadget.com/2017-11-09-untrained-eyes-engadget-experience.html

Couldn’t open the link because of the district’s restriction, so I found this link

1. Audience: people who are interested in this technology and people agree with the use but didn’t realize the bias of image searches on the internet
2. Verb: shed light, challenge, disprove
3. I don’t think it is successful, because people will only care about the interesting experience of who they look like but wouldn’t realize the bias and inherent flaws of AI algorithms.

https://adam.harvey.studio/cvdazzle/

1. Audience: People who agree with the use of face detector, and never aware of the harm of the system.
2. Verb: challenge to the growing power asymmetries in computer vision and, in particular, widespread deployment of facial recognition technology, discourages experimenting and probing opaque algorithmic systems, question the system, attempt to break
3. Super successful, and the concepts spread over distance and time, create a steadily growing resistance to face recognition