Public Sector AI

A citizen-facing AI assistant is where the PLLuM story becomes interesting. Not because a chatbot in a government app is a dazzling concept. It is not. Most public-sector chatbots have the charisma of a PDF with a search bar and the legal confidence of a nervous intern. The interesting part is what Poland had to build before such an assistant could be considered remotely serious: a rights-managed national corpus, Polish-native instruction data, preference alignment, safety filters, RAG evaluation, retrieval tooling, and a family of public models with different licence regimes. ...

The audit starts badly when everyone asks for “the fairness metric” Audit. That is where many AI fairness conversations become prematurely tidy. A model has produced uneven outcomes. Someone asks whether it is “fair.” Someone else proposes demographic parity, equal opportunity, calibration, predictive parity, or whatever metric most recently escaped from a conference paper into a compliance slide. The room nods gravely. A dashboard is born. Justice, apparently, has been converted into a ratio. ...