Guiding Principlesand Frameworks forPeople-Centred SmartCities in the AI era
Contents
Executive Summary
1 Before you begin
     1.1 Who is this Guide for?
     1.2 What does the city want to achieve?
     1.3 How to use and implement this Guide
     1.4 Choosing a pathway
2 The people-centred smart city compass
     2.1 What is a people-centred smart city in the AI era?
     2.2 Principles and foundations
     2.3 Desired outcomes
3 Using AI Responsibly
     3.1 Why AI, and when not
     3.2 The traffic-light rule: safeguards matched to impact
     3.3 Five AI essentials for every city
     3.4 The first 100 days in the AI era
     3.5 Cities in action
4 The eight-step implementation cycle
     4.1 Step 1: Define the urban challenge and the objective
     4.2 Step 2: Understand the starting point and establish a baseline
     4.3 Step 3: Prioritize
     4.4 Step 4: Build the enabling environment
     4.5 Step 5: Design solutions for and with people
     4.6 Step 6: Implement
     4.7 Step 7: Measure progress and impact
     4.8 Step 8: Learn, adapt and scale
     4.9 Cities in action
5 Monitoring, evaluation and continuous improvement
     5.1 Building a city-level monitoring framework
     5.2 Core thematic areas and indicators
     5.3 Supplementary indicators for people-centred and responsible AI governance
     5.4 From initiative indicators to city-level KPIs
     5.5 Evaluation and impact assessment
     5.6 Adaptive management and scaling
     5.7 International standards and resources that support cities
6 Next steps: a growing Toolbox
Annex 1 – The implementation cycle in detail
     A1.1 The city readiness scan
     A1.2 Roles of the main actors
     A1.3 Step 1: Define the urban challenge and the objective
     A1.4 Step 2: Understand the starting point and establish a baseline
     A1.5 Step 3: Prioritize
     A1.6 Step 4: Build the enabling environment
     A1.7 Step 5: Design solutions for and with people
     A1.8 Step 6: Implement
     A.1.9 Step 7: Track and measure progress and impact
     A1.10 Step 8: Learn, adapt and scale
Annex 2 – Responsible AI: regulatory mechanisms and impact assessment methods
     A2.1 International references and principles
     A2.2 Why AI, and when not – further detail
     A2.3 The traffic-light rule – full detail
     A2.4 Five AI essentials – further detail
     A2.5 Safeguards in practice
     A2.6 Putting regulatory requirements into practice
     A2.7 Methods for impact assessment
Annex 3 – Case studies
Annex 4 – Monitoring, evaluation and continuous improvement: U4SSC KPIs mapped to principles and desired outcomes
     A4.1 U4SSC KPIs mapped to principles and desired outcomes
Annex 5 – U4SSC City Implementation Guide
     A5.1 How to use the City Implementation Guide in the AI era
     A5.2 From the first 100 days to year three: an implementation roadmap
     A5.3 The eight steps on one page
     A5.4 Responsible AI tools
     A5.5 Procurement
     A5.6 Monitoring in six moves
     A5.7 Templates
Annex 6 – The U4SSC City Toolkit: proposed tools
     A6.1 Templates and checklists
     A6.2 Tools
Annex 7 – International frameworks and related resources
     A7.1 International frameworks and what they mean for cities
     A7.2 Related U4SSC, ITU and UN-Habitat resources
Annex 8 – Glossary, acronyms and references
     A8.1 Glossary
     A8.2 Acronyms
     A8.3 References and further reading