This research examines facial recognition as a relational capacity of networked human and machine agents. I argue that this approach is necessary to understand the complexities of current facial recognition technology in digital communication platforms. This work develops a descriptive architecture (Access, Attention, Action) that frames and examines recognition as a distributed production with ethical, material, and social ramifications. This framework highlights the remediation of biased logics and methods within networks of human and machine agents. In describing the basic capacities of facial recognition, I challenge human-centric notions of facial recognition. The resulting discussion of the AAA framework shows its ability to translate the socio-technical complexity of facial recognition into a perspective readily accessible to the communication discipline.
|Commitee:||Coonfield, Gordon, Theiner, Georg|
|School Location:||United States -- Pennsylvania|
|Source:||MAI 82/5(E), Masters Abstracts International|
|Subjects:||Communication, Information Technology|
|Keywords:||AI ethics, Algorithm, Faces, Facial recognition, Humachine, Surveillance|
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