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The global community is moving fast to ensure AI remains a force for good. With the enforcement of the EU AI Act, the world’s first comprehensive AI law, and similar legislative movements in the US and Asia, the regulatory gray area is disappearing.

These regulations are not just bureaucratic hurdles. They are a response to genuine concerns regarding data privacy, algorithmic bias, and the potential for surveillance overreach. For an end-user, choosing a provider that aligns with these global standards is no longer just a matter of ethics. It is a matter of long-term operational security. By adhering to ISO/IEC 42001, Hanwha Vision proactively meets these stringent requirements, ensuring our customers are protected from the legal and ethical risks of non-compliant AI.

Our Core AI Principles

To maintain this high standard of excellence, we have institutionalized the Responsible AI (RAI) Council. This dedicated decision-making body sets internal compliance standards, conducts pre-release risk assessments, and monitors ongoing AI performance. By doing so, they ensure every innovation is rooted in our core Ethical AI Principles.

• Safety & Reliability: We believe AI must be a dependable partner, performing consistently in any environment to ensure public safety.
• Privacy & Human Dignity: We respect individual rights as a non-negotiable value, ensuring technology never compromises the dignity of the people it serves.
• Transparency & Fairness: We are committed to integrity, rejecting ‘black box’ processes to ensure our intelligence is both auditable and impartial.

Bringing Principles to Life

How do these principles translate into the technology inside a security system? At Hanwha Vision, our AI management framework serves as the strict technical requirements that guide how our AI is built and deployed.

• Privacy by Design: We use AI to protect privacy, not just to monitor. Our systems can mask faces or sensitive areas in real-time, ensuring that security data is used only for its intended purpose without compromising individual anonymity.
• Eliminating Algorithmic Bias: A security system must be fair. We rigorously audit our training datasets to ensure our AI recognizes people and objects accurately across diverse environments and demographics, preventing discriminatory outcomes.
• Data Integrity & Security: AI is only as good as the data it learns from. We strictly manage our datasets to prevent any unauthorized tampering or data poisoning. By securing both the data and the algorithms, we ensure our AI provides consistent, accurate, and untampered insights that our customers can always trust.
• Transparency & Explainability: We believe users should understand how AI decisions are made. Our framework ensures that our AI processes are auditable and transparent, moving away from the opaque black box approach to technology.

A Future Built on Trust

The video surveillance industry is entering a new era where technical specs alone no longer define excellence. As AI becomes more autonomous, the true competitive edge lies in accountability. We recognize that our customers aren’t just looking for advanced features. They are looking for a partner that operates with ethical certainty in an unpredictable digital landscape.

For Hanwha Vision, establishing a trustworthy AI management system is not a one-time milestone. We will remain tireless in our pursuit of validated excellence, ensuring our practices not only meet but anticipate the highest global standards for transparency and safety. Hanwha Vision stands as a partner you can trust – not just for the clarity of our images, but for the integrity of our intelligence.