Page 29 - U4SSC Guiding principles for artificial intelligence in cities

Enabler Enabler Examples

Investment and • Local investments in AI applications for smart sustainable cities and in
Procurement AI-friendly infrastructure;

• Venture capital for AI; and

• Public procurement contracts awarding based on AI innovation.
Raise societal Citizen Engagement
AI principles • AI applications co-creation with inhabitants and local communities; and
readiness
• AI communication campaigns and related events, storytelling, ads, etc.

AI application affordability
Government or telecommunications operators could make AI using devices
affordable for inhabitants to use AI enabled applications, through subsidies,
payment plans, free distribution etc. (e.g., provide senior inhabitants with a wrist
sensor to monitor blood pressure/fever that would report this information to a
central repository)
Inclusive AI apps: Gender equality and social, cultural & economic inclusion

AI should be discussed in advocacy communities and global events, to support
inclusion of persons with different abilities, gender, etc., and to ensure AI
applications do not exacerbate inequalities.

4.4 Technology Platforms & Digital Infrastructure

AI friendly infrastructures and platforms have the potential to contribute to a city’s smartness and
sustainability. Hence, city administrations can promote the development and deployment of AI in
urban contexts while also implementing AI principles.

Table 5 illustrates some examples of city infrastructures and platforms to assist in AI applications,
and, in turn, in implementing the AI principles.

Table 5: Examples of city infrastructure and platform enablers

Enabler Enabler Examples
Digital • Available and affordable broadband connectivity (e.g., wireline connectivity such
Infrastructure as cable, Digital Subscriber Line (xDSL), fibre, mobile and wireless connectivity
enablers such as 3G/4G/5G);
• Secure Public, Private and Hybrid cloud to enable running AI applications and
platforms (e.g., High performance computing for deep learning); and
• IoT licenses for entrepreneurs, municipality services combined with sensors, and
any other IoT devices to gather open data and build AI apps.

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