Name in original language
Política de Inteligência Artificial Fluminense (PIAF)
Initiative overview
Política de Inteligência Artificial Fluminense (PIAF) is Rio de Janeiro State’s public policy for artificial intelligence and data. It sets guidelines to strengthen the local AI ecosystem, improve public data management, and guide the ethical development, procurement, and use of data- and AI-based solutions in government. The initiative responds to both a problem and an opportunity. The State needs clear rules, responsibilities, and safeguards to use AI in a transparent, rights-respecting, and legally compliant way, while also using data and AI to improve services, public decisions, accessibility, and administrative capacity.
PIAF also creates an implementation structure. It defines responsibilities for central, technical, and sectoral bodies; establishes monitoring through expected results, indicators, and targets; and creates practical instruments such as sector plans, training tracks, maturity assessments, ethical impact self-assessments, and digital systems for projects, data use, and solution mapping. It also creates two participatory and governance bodies: the AI Forum, which brings together government, universities, civil society, and the private sector to support the State’s AI ecosystem, and CEIA-RJ, a consultative council that helps guide the ethical use of AI in government.
Over time, PIAF is expected to evolve through implementation across government, complementary rules, public monitoring, and periodic review as technology and regulation change.
Results, outcomes and impacts
So far, PIAF’s main results have been institutional and participatory: Rio de Janeiro created a Technical Working Group under the State Data Governance Committee, prepared the draft decree, formally instituted PIAF, the AI Forum and CEIA-RJ through State Decree No. 50.523 of 13 October 2026, and linked the policy to the State Digital Government Strategy. The process also engaged multiple sectors through a citizen perception survey, digital public consultation, formal consultation with state bodies, and about 20 expert interviews. Progress has been measured through policy design and governance methods; future impact is expected through implementation, public monitoring, and key performance indicators (KPIs), indicators, and targets.


























