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Responsible Artificial Intelligence

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Governance · Ethics · Innovation

Responsible Artificial Intelligence

We develop and adopt Artificial Intelligence in an ethical, transparent, secure and people-centered way, with structured governance and alignment to international best practices.

Our Commitment

Petrobras believes that Artificial Intelligence must serve people, respect fundamental rights and expand our ability to create value safely and sustainably.

We are committed to developing and adopting AI systems responsibly throughout their entire life cycle — from design to monitoring and decommissioning. This commitment is anchored in our Code of Ethical Conduct and our sustainability and integrity commitments.

Our Responsible AI governance is multidisciplinary and participatory, supported by governance structures operating at strategic, tactical and operational levels, ensuring that technological innovation goes hand in hand with responsibility, proportionality and precaution

Responsible AI Principles

Our AI activities are guided by five core principles set out in our Responsible AI Guideline, which translate into concrete commitments applied to every AI system.

1

Human-centered AI

We respect fundamental, individual and social rights, ethical principles and corporate values, promoting safety, fairness, diversity, equity and inclusion.

2

Accountability and human oversight

AI systems are subject to human oversight proportional to the risk level, supported by clear governance structures and formal assignment of responsibility for decisions.

3

Transparency and explainability

We communicate the purpose, capabilities, limitations and data sources of AI systems, with a level of detail and explainability proportional to the risk and impact of the AI system.

4

Security, reliability and privacy

We implement safeguards so that AI systems operate in a robust and secure manner, ensuring confidentiality, integrity, availability and the privacy of personal data.

5

Prudent, sustainable and collaborative innovation

We combine innovation with responsibility, sustainability and efficiency, guided by continuous risk and impact assessments and by the principles of precaution and proportionality.

How we apply these principles

1

Privacy and data protection

We protect privacy and personal data in the use and development of AI, in compliance with the LGPD and our Code of Ethical Conduct, applying the Privacy by Design principle.

2

Cybersecurity

We apply our corporate information security controls to AI systems throughout the entire life cycle, protecting data, models and infrastructure.

3

Bias mitigation

We assess and mitigate undesired bias in AI systems, seeking fair and non-discriminatory outcomes.

4

Human oversight

For critical decisions, we maintain qualified human oversight, with authority to review, intervene in and reverse AI-generated outcomes.

5

Transparency

We seek transparency about where and how we use AI and adopt levels of explainability proportional to the risk of each AI system, disclosing AI-generated content.

6

Accountability

We use AI in the decision-making process, but responsibility remains with people and the governance chain defined in our processes.

7

Use limits

We set explicit limits on what our AI systems can and cannot do, assessed per use case before deployment.

8

Environmental footprint

We consider the efficiency and environmental impact of data centers, in line with our sustainability commitments.

9

Prohibited systems

We do not develop or deploy AI systems that engage in manipulation, exploitation of vulnerabilities, or social scoring.

10

Contesting decisions

We provide channels for people affected by decisions supported by AI systems to request review and human intervention.

11

Training

We promote employee training on the ethical and secure use of AI systems.

Responsible AI Governance

Our Responsible AI governance is multidisciplinary and participatory, organized across strategic, tactical and operational levels that connect strategy to execution and to continuous risk monitoring.

AI Risk Assessment

Before deployment, every AI system — developed internally or provided by third parties — undergoes a structured risk assessment process, revisited whenever the context of use changes.

We define controls and implement human oversight proportional to the risk of each AI system, with qualified authority to review, intervene and reverse AI-informed decisions. Continuous monitoring throughout the lifecycle ensures that AI systems remain aligned with our principles of responsibility, security and compliance.

Alignment with International References

Our Responsible AI governance is built in dialogue with the leading global references for AI ethics, regulation and risk management — combining international principles, regulatory frameworks and sector best practices.

Global ethics reference

UNESCO

Recommendation on the Ethics of Artificial Intelligence, grounded in human dignity and rights, inclusion, environmental sustainability, transparency and human oversight.

Intergovernmental principles

OCDE

Principles for trustworthy AI: inclusive growth and well-being, transparency and explainability, robustness and security, and accountability across the life cycle.

Risk-based regulatory framework

EU AI Act

European regulation that classifies AI systems by risk level, setting out prohibited practices, reinforced obligations for high-risk AI systems and transparency requirements.

Risk knowledge base

MIT AI Risk Repository

A comprehensive, continuously updated database that catalogs and classifies AI risks, supporting structured identification, assessment and mitigation across our AI systems.

Sector best practices

IOGP

Principles for the responsible use of AI that reflect the specific challenges and opportunities of the oil and gas industry, addressing decision-making transparency, regulatory compliance, operational safety and the governance structures essential to AI adoption in the sector.

Uses We Do Not Pursue

In line with our Guideline and global frameworks, we prohibit the development, acquisition or use of AI systems that violate the Code of Ethical Conduct or fundamental rights, especially those that:

  • Exploit vulnerabilities or induce behaviors harmful to people's health or safety.
  • Perform social scoring to restrict or grant access to rights.
  • Manipulate behavior or distribute false or defamatory information.
  • Conceal interaction with AI when transparency is due.
  • Present a risk of physical or psychological harm that cannot be mitigated.

Last updated on July 30, 2026.
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