Responsible AI Policy
At Massive Marine Yazılım A.Ş., we are committed to developing and deploying artificial intelligence systems in a responsible, transparent, and ethical manner.
Our AI-powered marine vision and safety solutions are designed to support human decision-making, enhance situational awareness, and improve maritime safety, while respecting legal, ethical, and societal considerations.
Purpose and Scope
This Responsible AI Policy outlines the principles that guide the design, development, deployment, and use of artificial intelligence technologies across Massive Marine AI products and services.
This policy applies to all AI systems developed or operated by Massive Marine Yazılım A.Ş.
Human-Centered Design
Our AI systems are designed as decision-support tools.
- AI outputs are intended to assist, not replace, human judgment
- Final decisions remain with the vessel operator or authorized personnel
- Users are responsible for safe operation and regulatory compliance
AI systems are not designed to operate autonomously without appropriate human oversight.
Safety and Reliability
We prioritize safety and reliability throughout the AI lifecycle.
- AI models are tested and validated before deployment
- Performance is continuously monitored in real-world conditions
- Risk scenarios and failure modes are considered during system design
- We aim to minimize false alerts, misclassification, and unintended behavior
Transparency and Explainability
We strive to ensure that AI-driven insights are:
- Understandable to users
- Clearly communicated as AI-assisted outputs
- Presented with appropriate context and limitations
Where possible, we provide explanations that help users understand why a specific alert or recommendation is generated.
Data Responsibility
We process data responsibly and lawfully.
- Personal data is handled in accordance with KVKK and GDPR
- Personal data is not used for AI model training
- Data used for model development and improvement is anonymized or aggregated where feasible
- We implement appropriate safeguards to protect data integrity and confidentiality
Bias and Fairness
We actively work to identify and mitigate potential biases in our AI systems.
- Training and evaluation processes are regularly reviewed
- System performance is assessed across diverse scenarios
- Continuous improvement processes are in place to reduce unintended bias
Security and Resilience
We apply appropriate technical and organizational measures to protect AI systems against:
- Unauthorized access
- Data manipulation
- System misuse
Security is treated as a core component of responsible AI development.
Compliance and Accountability
Our AI systems are developed in alignment with applicable laws, regulations, and industry standards, including emerging AI governance frameworks.
We maintain internal accountability mechanisms and regularly review our AI practices to ensure ongoing compliance and responsible use.
Limitations and User Responsibility
AI-generated outputs are based on available data and model assumptions and may not be accurate in all conditions.
Users should:
- Treat AI outputs as advisory
- Remain attentive to environmental conditions
- Use AI systems alongside professional judgment and maritime best practices
Continuous Improvement
Responsible AI is an ongoing commitment.
We continuously refine our models, processes, and safeguards based on:
- User feedback
- Operational experience
- Regulatory and technological developments
Contact
If you have questions or concerns regarding our Responsible AI practices, please contact us at: