Page 28 - U4SSC Guiding principles for artificial intelligence in cities

Enabler Enabler Examples

Open knowledge, Join worldwide initiatives:
open science, open • Open platforms providing AI capacity building;
learning platforms
• Open knowledge and open science schemes Network (okfn.org);

• Open platforms for sharing AI deployment experiences; and

• AI policy initiatives (e.g., OECD AI Policy Observatory) .
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4.3 City Systems Enablers: Public, private & inhabitants

Cities either already have or may plan to institute various other enablers that will directly or
indirectly advocate AI principles, and, more generally, AI solutions. Innovation systems such as AI
entrepreneurship support programmes and organizations, AI-related R&D in public and private
sectors, and AI investment and procurement schemes may all advance the implementation of AI
principles. Similarly, citywide engagement and participation of stakeholders will increase trust in
AI systems and create awareness.

Table 4 illustrates some examples of various additional city enablers.

Table 4: Examples of city systems enablers

Enabler Enabler Examples
Research and • AI R&D related policies and incentives (e.g., government tax incentives
Development for private sector R&D, public sector R&D grants);
(R&D) Programmes
• Funding resources for academia;

• Providing access to data and key innovation resources; and

• Innovation Programmes and challenges (city, local, national, and
international).
Entrepreneurship • General AI incubation programmes in cities for start-ups and
Programmes entrepreneurs;

• AI in smart cities incubators, innovation hubs and networks, promoted
by governments, private institutions, and academia; and

• Accelerator programmes in cities for AI.

2 http:// www .oecd .org/ going -digital/ ai/

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