Humlab Showcase

Read more: Humlab granted funding for equipment that promotes digital humanities.

Automated facial analysis (FA) technologies - such as facial detection and facial recognition - stand out as central in discussions about Artificial Intelligence's (AI) impact on human beings. AI is intertwined with both the most mundane and the most critical aspects of human life, and image detection and classification represents a pertinent domain where we can see a tight coupling of human identity and computation. In previous research on automatic gender recognition, the classification of gender by FA technologies, has raised potential concerns around issues of racial and gender bias (e.g. Schuerman et al 2019). Research on FA from queer perspectives is still limited, but the results in studies with focus on queer identity and perspectives points towards potential risks. For an example, Schuerman et al. (2019) found that FA services performed consistently worse on transgender individuals and were universally unable to classify non-binary genders.

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