Data ethics policy
Background and purpose
New digital and data‑driven opportunities are emerging continuously and at a rapid pace. As part of its digital transformation, CPH seeks to fully leverage current and future technological opportunities that can improve our products and services for customers, partners and employees (hereafter referred to as CPH’s stakeholders).
To ensure that we continue to live up to our ambition of being a responsible business within data and digitalisation, we will continuously develop and embed data ethics in our work with data. Data ethics goes beyond mere compliance with legislation, including the Danish and European rules on personal data protection, which CPH fully observes. Our data ethics policy defines the level of responsibility we apply beyond legal requirements and ensures that future data and digitalisation opportunities are not only about what we can do, but about what we choose to do in order to consistently act responsibly.
Principles
Our data ethics policy is based on three principles:
- Accountability: Data is used responsibly, with the purpose of creating value for our stakeholders.
- Transparency: We are transparent about the purpose, collection, storage and use of data.
- Fairness: All customer groups are treated fairly, and algorithms must not create bias or discrimination.
Specification of the work with data ethics
Machine learning, artificial intelligence, object detection and the use of algorithms
Artificial intelligence (AI) is increasingly used at CPH to improve the passenger experience, enhance security and strengthen operational efficiency. We are committed to the responsible and ethical use of this technology and ensure that all AI initiatives are aligned with CPH’s values and principles. Transparency is fundamental, and our AI solutions are developed and trained with a strong focus on fair treatment of all individuals.
Machine learning, algorithms and object detection are currently used primarily for capacity optimisation as well as operational and safety‑related purposes. All AI and ML models must be explainable and understandable, and responsibility for decisions based on automated calculations always rests with a human being.
Use of customer data
Data sharing and sale of data
-
Operational data is shared with relevant stakeholders at the airport, such as the police, airlines and ground handlers, in order to ensure a strong overall customer experience and efficient operations.
-
Data is shared to support customer experience and operational efficiency and is not used for resale.
-
When data is shared with external organisations, it is done in anonymised or aggregated form.
Use of employee data
-
Employee data is always shared externally in anonymised form.
-
We are transparent with employees about how personal data is used.