AI Forecasters for Ballot Measures

Use calibrated AI forecasting models to predict realistic outcomes and implementation metrics for ballot propositions (for example, how many homes a housing bond will actually produce and at what real cost). Voters and civic groups can then convert campaign claims into expected per‑unit costs and fiscal impacts rather than relying on sponsor projections alone. — If adopted, this practice would raise the factual standard of ballot debates and change how voters evaluate campaign promises and bond measures.