Responsible AI Usage Statement

1. Alignment with Organisational Values

We ensure that every AI capability we introduce is aligned with our core values of safety, transparency, and trust. Ethical AI is not simply a “good-to-have” — it is a mandatory principle guiding all our technology decisions.

2. Ethical and Safe System Design

Our AI models are built with a preventative and long-term mindset, ensuring safety and minimising unintended consequences. This includes:

• Rigorous testing and validation
• Bias detection and mitigation
• Continuous monitoring of model performance
• Clear operational boundaries for automated detection

3. Stakeholder Trust and Competitive Integrity

We treat responsible AI as a commitment to earning and preserving trust among ship owners, crew, port authorities, and regulators. By adopting strong ethical standards, we deliver solutions that are dependable, explainable, and transparent — contributing to long-term competitive advantage for our clients.

4. Aspiration Toward Higher Ethical Standards

We aim to inspire the maritime sector by demonstrating how AI can be applied safely and transparently. Our team continuously explores better ways to ensure fairness, accuracy, and accountability in visual inspection systems.

5. Supporting Future Regulations and Industry Best Practices

Marinos-AI proactively contributes to responsible technology adoption by preparing for emerging regulatory frameworks such as IMO, ISO, and national AI governance standards. We participate in industry discussions and adopt practices that can help shape responsible policy-making across the maritime ecosystem.

6. Privacy, Security, and Data Protection

We follow strict data governance practices to ensure secure processing of visual data, with clear controls over access, retention, and usage. All data is handled according to international privacy and cybersecurity standards.

7. Institutionalising AI Ethics (WEF-Aligned)

We adopt guidance inspired by the World Economic Forum's (WEF) framework for empowering AI leadership at the board of directors level. This means:

• AI ethics oversight is anchored at leadership and governance levels
• The Board is empowered with knowledge and frameworks to evaluate AI risks and opportunities
• Ethical considerations inform strategy, procurement, system design, deployment, and lifecycle management
• Clear accountability structures govern how AI is used within the organisation

This approach ensures that ethical AI is institutionalised—not only in technology teams but across the organisation's leadership and decision-making processes.