🏙️ Cities are at the forefront of AI governance, acting as laboratories of governance innovation. 🤝 Proximity fosters a unique environment for experimentation due to cities' close relationship with citizens. 🌍 Different cities, different insights – a rich tapestry of AI governance approaches is emerging. 🛠 Yet, we now have to start crafting the Normative Framework: What Does “Good” Look Like? This requires us to think about how ESTABLISHING LEGITIMACY & EFFECTIVENESS at the same time? This will require us to evaluate AI localism along 7 lines: 👥 PARTICIPATION: Inclusive decision-making with diverse stakeholders. Example: Citizen Assemblies 🔊 REPRESENTATION: Ensuring diverse voices shape AI policies. Example: Dedicated Committees 🔍 TRANSPARENCY: Clear about AI applications & decision-making processes. Example: AI Registries ⚖️ ACCOUNTABILITY: Stakeholders held responsible for ethical AI governance. Example: New Positions 🌀 AGILITY: Adapting to AI advancements for relevant governance. Example: Regulatory Sandboxes 📚 EVIDENCE-BASED: Rational decision-making through experiments. Example: Collaboration with Research Institutes 💰 COST-EFFECTIVENESS: Adaptive resource allocation. Example: AI Procurement Processes

1. AI Localism
Toward Effective and Legitimate Governance
of Artificial Intelligence
Stefaan Verhulst
12 September 2023

5. Title Here
AI LOCALISM: CITIES AS THE FRONTLINE
OF AI GOVERNANCE INNOVATION
● Laboratories of Governance Innovation:
Cities stand as the forefront of AI
governance innovation, where diverse
challenges and innovative solutions
intersect;
● Proximity Matters: Cities' close
relationship with citizens fosters a
unique environment for experimentation;
● Learning from Diversity: Different cities
offer unique insights, forming a rich
tapestry of AI governance approaches.
The GovLab

6. What does “good” look like?
A normative framework to assess AI Localism

8. ESTABLISHING LEGITIMACY
Title Here
PARTICIPATION
Inclusive decision-making processes that
involve a broad spectrum of stakeholders foster
trust in AI governance.
REPRESENTATION
Fair representation ensures that diverse voices
contribute to shaping AI policies that reflect
societal values.
TRANSPARENCY
Openness about decision-making processes
and AI applications engenders legitimacy.
ACCOUNTABILITY
Holding stakeholders accountable ensures
responsible and ethical AI governance.
AI Localism

9. ESTABLISHING EFFECTIVENESS
AI Localism
AGILITY
Flexibility in adapting to AI advancements
allows governance to remain relevant in a
dynamic landscape.
EVIDENCE-BASED
Rational decision-making through
evidence-based experiments leads to informed
AI policies.
BUDGET and COST EFFECTIVENESS
Allocating resources adaptively ensures the
potential for innovation is fully harnessed.

10. EVALUATING AI LOCALISM CHECKLIST
❏ Participation
❏ Representation
❏ Transparency
❏ Accountability
❏ Agility
❏ Evidence-based
/Experimentation
❏ Cost-Effectiveness
AI Localism

11. EVALUATING AI LOCALISM CHECKLIST
AI Localism

12. EXAMPLE: CITIZEN ASSEMBLIES
PARTICIPATION
Title Here
AI Localism
MOVING FORWARD

13. EXAMPLE: COMMITTEES
MOVING FORWARD
REPRESENTATION
Title Here
AI Localism

14. EXAMPLE: AI REGISTRIES MOVING FORWARD
TRANSPARENCY
Title Here
AI Localism
https://helpfulplaces.com/

15. EXAMPLE: NEW POSITIONS MOVING FORWARD
ACCOUNTABILITY
Title Here
AI Localism

16. EXAMPLE: REGULATORY SANDBOXES MOVING FORWARD
Effective governance of these sandboxes.
AGILITY
Title Here
AI Localism

17. EXAMPLE: COLLABORATION WITH
RESEARCH INSTITUTES
MOVING FORWARD
EVIDENCE
Title Here
AI Localism

18. EXAMPLE: AI PROCUREMENT PROCESSES MOVING FORWARD
Streamlined, evidence based and adaptive
procurement procedures.
COST-EFFECTIVENESS
Title Here
AI Localism

19. Toward
Benchmarking
AI Localism

20. Collective Learning and Exchange of
Best Practices
Resource Optimization
Comparative Perspective and
Cross-Pollination of Ideas
Accelerated Problem-Solving
Harmonization of Meanings
BENCHMARKING AI LOCALISM
Title Here
AI Localism

21. LEARN MORE
ailocalism.org

22. www.thegovlab.org