Page 9 - U4SSC Case study Copenhagen, Denmark
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3     AI principles in the city



            3.1     AI principles (adopted by the city)

            Denmark's six principles for the adoption of Artificial Intelligence are:


            •  Self-determination: People’s autonomy and ability to make informed and independent decisions
                should be at the forefront. AI adoption should be above the requirements or decisions made
                by inhabitants of the city;

            •  Dignity: Human dignity should be respected in the development and use of AI and this
                technology should not cause injury to human and should be employed in a manner that it
                respects democracy and democratic processes. Additionally, it should not be used to infringe
                fundamental human rights;
            •  Responsibility: In decisions and decision-support based on AI, it should be possible to place
                responsibility on human beings;

            •  Explainability: This refers to the ability to describe, control and restore data, underlying logics
                and consequences of the use of AI. For example, being able to trace and explain decisions and
                decision support;
            •  Equality and justice: AI should be trained in such a manner that it does not reproduce prejudices
                that marginalize certain sections of the population based on background, ethnicity, gender,
                etc. and

            •  Development: Development Artificial intelligence can help forge great progress for society.


            3.2     AI principles enablers (adopted by the city)


            The main enablers in Copenhagen’s AI adoption are governed by the country’s National Strategy
            for AI. These include:

            •  Strategy for Denmark’s Digital Growth (2018): This highlights the importance of standardisation
                of data and further provides insights on leveraging public data and promote the use of common
                public standards for data and interfaces better data sharing infrastructure and further facilitate
                interoperability of data:

                –  Common Danish language resource;

                –  Better access to public-sector data; and
                –  More data in the cloud for artificial intelligence.


            •  Cybersecurity: AI systems are prone to threats and manipulated or influenced for malicious use.
                The Cybersecurity Strategy aims to enhance Denmark’s technological preparedness to protect
                critical IT systems and data.



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