School of Law, Loyola University
Governments and companies often use consent to justify the use of facial recognition technologies for surveillance. Many proposals for regulating facial recognition technology incorporate consent rules as a way to protect those faces that are being tagged and tracked. But consent is a broken regulatory mechanism for facial surveillance. The individual risks of facial surveillance are impossibly opaque, and our collective autonomy and obscurity interests aren’t captured or served by individual decisions.
In this article, we argue that facial recognition technologies have a massive and likely fatal consent problem. We reconstruct some of Nancy Kim’s fundamental claims in Consentability: Consent and Its Limits, emphasizing how her consentability framework grants foundational priority to individual and social autonomy, integrates empirical insights into cognitive limitations that significantly impact the quality of human decision-making when granting consent, and identifies social, psychological, and legal impediments that allow the pace and negative consequences of innovation to outstrip the protections of legal regulation.
We also expand upon Kim’s analysis by arguing that valid consent cannot be given for face surveillance. Even if valid individual consent to face surveillance was possible, permission for such surveillance is in irresolvable conflict with our collective autonomy and obscurity interests. Additionally, there is good reason to be skeptical of consent as the justification for any use of facial recognition technology, including facial characterization, verification, and identification.
Evan Selinger & Woodrow Hartzog,
The Inconsentability of Facial Surveillance
Loyola Law Review
Available at: https://scholarship.law.bu.edu/faculty_scholarship/3066