SOURCE-LINKED INTELLIGENCE

Facial Recognition Technologies. Etho-Assemblages and Alternative Futures

CORDIS · observation · Publication date unknown

acial recognition technologies collect billions of faces that are stored for multiple uses spanning individual identification and tracking, to training of deep neural networks, the mainstay of modern artificial intelligence (AI). From tagging a photo on social media or unlocking a computer, to controversial applications of facial recognition in public spaces, schools, workplaces, and law enforcement activities, facial processing technologies have entered almost every aspect of our lives. While expected benefits relate to security and safety, critics highlight that these technologies normalize surveillance and erode privacy, exacerbate discrimination, and contain insurmountable flaws and inaccuracy. The fAIces project asks: What matters in facial recognition technologies, and why? How politics of mattering enact diverse ways of being implicated? Which forms of citizenship and public engagement are affected? How multiple and complex ethical choices emerge? This study develops a novel methodology by which the perspectives of social groups that have never been studied together, which ar

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recordType

award

status

SIGNED

region

EU

value

2467635

unit

EUR