"BAN OR REGULATE: Facial Recognition and Racism in Police in the Cradle of Big Techs".
racism; algorithmic racism; facial recognition; policing;
In this master thesis I intend to understand how the processes of regulation and banishment of the use of Facial Recognition technologies took place in Los Angeles and San Francisco, both cities in the state of California, United States. In the first chapter, I try to understand how the scientific discourse about race and racism was produced and how objectivity and neutrality were articulated by the white logic in the scientific production about racism. On this way, I join these categories to explain how the uses of the softwares of Facial Recognition has been justified to been used by the police, demonstrating that the algorithmic racism is latent. I also try to think about about the way in the wich different surveillance technologies have been created and used to control and surveil black bodies throughout history. Studying the cases, I make intersections between the categories explained in the first part of the text to understand how the Facial Recognition technologies were initially implemented in the analyzed territories to realize the processes of regulamentation. In these terms, I analyze the regulatory processes by public institutions, as well as the resistance processes of the civil society organizations to the use of surveillance technologies, especially Facial Recognition.