Jay Caspian Kang's piece in The New Yorker on VAR and algorithmic authority is nominally about football but is actually a clean account of the contemporary condition: we have outsourced decisive judgment to systems whose logic we cannot inspect, and the paranoia this produces is not irrational, it is structurally correct. This week also brought Demis Hassabis calling for a global AI watchdog led by the United States. The juxtaposition is almost too clean.
Algorithmic Authority and the Consent Problem
VAR's problem is not that it gets calls wrong. It's that the criteria for 'right' were never democratically negotiated with the audience. Offside in millimeters, projected body lines, freeze-frames as legal evidence: these are epistemological choices dressed as technical solutions. The same critique applies to AI governance. Hassabis's proposal for a US-led global watchdog assumes the legitimacy of American institutional leadership at exactly the moment when, as The Atlantic's piece on Trump's anti-growth agenda argues, that hegemony is visibly faltering. You cannot build global algorithmic trust on a crumbling institutional base.
Opacity as Governance Strategy
A 2024 paper in AI and Society by Diakopoulos and Koliska on algorithmic accountability found that opacity in automated decision systems is often a feature, not a bug: it diffuses responsibility and pre-empts contestation. VAR directors don't explain their freeze-frame methodology. AI companies don't publish their alignment criteria. The paranoia Kang describes is the correct response to systems that have authority without accountability. Marcus Bösch's conversation on vibocracy and epistemic exhaustion names the end state: when affect outpaces argument, legitimacy collapses into vibes. VAR is sports governance by vibes management, and AI regulation is heading the same direction.