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Rio de Janeiro State Artificial Intelligence Policy (Subnational: State of Rio de Janeiro)


Added by:   OECD analyst
Added on:   28 Oct 2026
Updated by:   OECD analyst
Updated on:   28 Oct 2026

The policy sets Rio de Janeiro State’s guidelines for strengthening the AI ecosystem, improving public data management, and promoting the ethical use of data and AI in government. It defines responsibilities, instruments, the AI Forum, and the Ethics Council for AI so this public policy can be implemented, monitored, and continuously improved through expected results, indicators, and targets. It can benefit citizens and give public servants and managers greater legal certainty when using AI.

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.

Other relevant details

Challenges and lessons learned: PIAF has faced four main challenges: co-ordinating many sectors, dealing with uneven institutional readiness, turning broad AI goals into implementable rules and tools, and balancing innovation with legal certainty and risk mitigation. Rio addressed these challenges through a phased process led by the Data Governance Committee and the PIAF Technical Working Group, using expert interviews, a citizen perception survey, formal consultation with state bodies, use-case mapping, and digital public consultation. A key lesson is that an AI policy works better when it is built on existing data governance, clear institutional roles, gradual implementation, and public participation. Success depends on central co-ordination, technical support, sectoral engagement, complementary regulation, and monitoring through indicators and targets.