Page 9 - U4SSC Case study Buenos Aires, Argentina

Figure 1: AI Principles Enablers (adopted by the city)

3.2 AI principles governance mechanism (adopted by the city)

The main principles and action lines and commitments for AI adoption in the city and Argentina
at large include:

• Data:

– Strengthening incentives and mechanisms for opening, re-using and sharing data in the
public, private and academia sectors; and
– Identifying and generating mechanisms to make available critical public and private data
for the development of AI.

• Implementation in the public sector:

– Increasing productivity and efficiency through the implementation of focused AI solutions;

– Optimizing public services using traceable AI systems, with well-founded and transparent
logics that do not adversely affect the rights of inhabitants; and
– Defining public procurement methodologies and processes for AI.

• Infrastructure:

– Promoting the generation of a public supercomputer cluster to guarantee international
level processing capacity for public and private users, seeking to establish cooperation
mechanisms to support AI scientific research and the development of pilots in strategic
areas of the public sector.

• AI Innovation Lab:

– Building an AI Innovation Lab as a public-private organisation for open innovation,
collaboration among sectors and the development of targeted projects.

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