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Accountability

– Accountability for the supplier to create algorithms respecting human digital rights, and which
are compliant with federal, state and local anti-discrimination laws.

– Agencies should not procure algorithms that are shielded from an independent validation and
public review because of trade-secret or confidentiality claims.

– It must be noted that these capabilities should be applied differently to different systems
depending on the nature, context and goals of the algorithmic system.

– Technically, these capabilities can be translated into a metadata API that every vendor would
provide, when supplying high impact algorithms to cities and communities, and the buyers
could put in their requirements when procuring.

8.5.3 Recommended Specifications

– Recommendation ITU-T Y.4470 Reference architecture of artificial intelligence service exposure
for smart sustainable cities (ITU-T, 2020);

– ITU-T Y. Supplement 63 Unlocking Internet of Things with artificial intelligence (ITU-T, 2020);

– Danish Standards PAS DS/PAS 2500-1: 2020, Artificial Intelligence – Part 1: Transparency; 48
– Danish Standards S/PAS 2500-2: 2020, Artificial Intelligence – Part 2: Decision-support usage
in public administration. 49

8.5.4 References

– Standard Clauses For Procurement Of Trustworthy Algorithmic Systems (City of Amsterdam,
2021);

– White Paper on Public AI Registers: Realising AI transparency and civic participation in
government use of AI (Haataja et. al, 2020).

8.6 MIM 7: Geospatial information management

8.6.1 Goals

Specify how to share spatial (and spatio-temporal) data, and make them interoperable with, within,
and between systems and territories. This goes from static data about assets such as streetlights,
buildings and streets to spatio-temporal data from sensors. The purpose of this Minimal Interoperable
Mechanism (MIM) is to make these data and the way they are shared interoperable across cities
and communities, but also among stakeholders within the same city. This MIM will also provide
input to MIM2 Data models, in particular regarding data that have an explicit geospatial dimension.

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