Page 27 - U4SSC Guiding principles for artificial intelligence in cities

Table 3 illustrates some examples of capacity-building activities.

Table 3: Examples of capacity building enablers

Enabler Enabler Examples
AI Education • AI principles topics included in general education programmes of
schools to teach about AI technologies and capabilities (available and
affordable for students as part of their curricula);
• Increased investments in higher education in the field of ICT/AI, and
related educational research and development (R&D) activities;

• Private sector-led training programmes in AI principles and other AI
topics; and

• Building AI principles toolkits, assessment tools, etc., and providing
training on them.
AI capacity • Workshops with local communities about AI capabilities in Public Sector
building in Informal for greater service efficiency and cost effectiveness;
education
• Call for challenges and hackathons to create solutions with AI for a Smart
and Sustainable city; and
• Mentorships with experts from various fields. (social scientists, humanities’
scientists, digital accessibility experts, human rights experts, interaction
design experts, etc.)
Monetary incentive Public, private, and academic joint grants and partnerships for AI skills development,
scheme to make AI through:
related education • AI related scholarships;
more accessible
and attractive • Free courses;

• Competitive grants for doctoral candidates; and

• AI courses and web-based training programmes - Massive Open Online
Courses (MOOC).

State level investment to open innovation and open science:
• Joint funding programmes like grants, funds for AI-related curriculums
at all education levels and in-service trainings; and

• For city officials, benefit schemes for completing certifications and AI/
Sustainable Smart Cities upskilling designed into their work processes.

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