Bias-correction algorithms can equalize treatment while masking latent power to discriminate

Evidence

In fact, such only partial debiasing may actually make the problem worse, they argue, in the sense that it leaves the majority of these stereotypical associations intact while removing the ones that are the most visible and easiest to measure. — Brian Christian, The Alignment Problem, 210 (#corroborates, via linked claim)

Categorization

• XREF: connects to: Algorithmic discrimination affects real people despite targeting only probabilistic data doubles. — Nick Couldry & Ulises A. Mejias, The Costs of Connection: How Data Is…, 408; Algorithmic filtering amplifies preexisting biases rather than causing them — Sander van der Linden, Foolproof: Why Misinformation Infects…, 414; High inter-coder reliability can conceal systematically shared bias. (+8 more)

Broader Connections

• Partial debiasing can make bias problem worse by hiding it #corroborates (0.92) — Brian Christian, The Alignment Problem, 210