Even the "Devil" has Rights!

Even marginalized voices deserve attention in AI ethics: The paper argues that a single documented human rights violation is sufficient to warrant serious attention, challenging the notion that only widespread surveys or high-status researchers' concerns should shape responsible AI practices.

Computer vision research has systemic accountability gaps: The work documents specific incidents of human rights violations within the computer vision community, including silence on ongoing genocides while promoting governments involved in them, suggesting the field lacks adequate ethical oversight mechanisms.

Discrimination tools are deliberately used for exclusion: The paper provides evidence that labeling individuals as "problematic" based on gender, ethnicity, religion, or other characteristics has been systematically weaponized to exclude them from the research community, requiring deliberate dismantling of these exclusionary practices.

Institutional systems (peer review, faculty support) are broken: The paper identifies corruption and dysfunction in reviewing systems and faculty support structures as documented human rights violations, indicating that responsible AI requires fixing these foundational institutional problems.

Human rights protections must be universal and unconditional: The paper's central argument—that human rights apply to everyone "even the ones that might be labelled as devils"—emphasizes that responsible AI frameworks cannot selectively apply protections based on reputation or social standing within the research community.