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5 Governance of guiding principles for AI in cities
Successful governance of AI principles entails three main roles:
• Regulatory
• Execution
• Compliance
For each of these three roles, cities can adopt different levels of control in their approaches; namely
centralized, decentralized and hybrid.
Table 6 briefly explains various options available to cities for governing AI principles by adopting
different levels of centralization.
Table 6: Governance Alternatives for Guiding Principles for AI in Cities
Centralized Decentralized Hybrid
Regulation A single city agency (entity) Each city agency (entity) A single city agency (entity)
takes responsibility for takes responsibility for takes responsibility for
formulating the “Guiding formulating its own formulating the “Guiding
Principles for AI” which “Guiding Principles for Principles for AI” which
are applicable to other AI” which are applicable are applicable to a set of
city agencies (entities) to its own agency (entity) city agencies (entities);
only additionally, some agencies
Note: This option can formulate their own
empowers a single city Note: This option gives “Guiding Principles for AI”
agency to formulate more flexibility to city which are applicable to
the city level principles; agencies to formulate them only
however, it compromises their own principles;
by incorporating more however, it compromises Note: This option gives
specific principles at the by achieving a coherent more flexibility to a subset
sector level single set of principles of city agencies to formulate
at the city level their own set of principles;
however, it compromises
by achieving a coherent
single set of principles at
the city level
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