AI Standards for Global Impact: From Governance to Action
Foreword
AI for Good Global Summit 2025
Table of contents
Executive Summary
Part 1: International AI Standards Exchange
1 Importance of AI standards
     1.1 AI standards at play
     1.2 AI standards role and impact
2 AI standards exchange database
3 Role of International standards in AI
4 High-level roundtable – From principles to practice: how AI standards enable effective governance
5 High level panels and keynotes
     5.1 Transforming telecoms with AI and machine learning
     5.2 AI Standards: Building trust and supporting innovation in a networked world
     5.3 Navigating tomorrow: Education, skills, and standards in an AI-driven workplace
     5.4 Computing and AI: Endless frontier and exploration
     5.5 AI and multimedia authenticity
     5.6 Humans and AI: The Journey
     5.7 Donate your brainwaves for social impact
     5.8 AI for food systems
     5.9 Future of smart mobility
     5.10 AI and energy
     5.11 Elevating AI skills for all
Part 2: Thematic AI Standards Workshops
6 Trustworthy AI testing and validation
     6.1 AI system testing
     6.2 International collaboration on AI testing
7 Open dialogue on trustworthy AI testing
     7.1 Outcomes
     7.2 Future directions
8 Enabling AI for health innovation and access
     8.1 Global Initiative on AI for Health (GI-AI4H)
     8.2 Strategy and Frameworks for AI in health
     8.3 Use cases of AI in health
     8.4 IP management to enable AI implementation for healthcare innovation and access
     8.5 Technical brief on AI in traditional medicine
     8.6 Closing summary
9 Human-centred AI for disaster management: empowering communities through standards
     9.1 AI for disaster management
     9.2 Global collaboration on standards for disaster management
     9.3 Use cases of AI for disaster management
     9.4 How AI transforms disaster management
     9.5 Conclusion
10 AI and multimedia authenticity standards
     10.1 Overview of AI and Multimedia Authenticity Standards Collaboration
     10.2 Standards mapping landscape on AI and multimedia authenticity
     10.3 Policy Paper: Building trust in multimedia authenticity through international standards
     10.4 Fighting misinformation through fact-checking and deepfake detection
11 AI and machine learning in communications workshop
     11.1 Introduction
     11.2 Innovations in AI models
     11.3 Standards and open source
     11.4 Outcomes
     11.5 Tools and Simulators, and Datasets
     11.6 Opportunities for networking standards
12 Challenging the status quo of AI security
     12.1 Keynote: Framing agentic AI and identity with a strategic lens
     12.2 Agentic AI security
     12.3 Key takeaways
     12.4 Agentic Al identity management
     12.5 Interplay of Al and cybersecurity: The good, the bad, and the ugly
     12.6 Next steps
13 Empowering innovative and intelligent solutions at the edge (edge AI)
     13.1 What is edge AI and why is it becoming important
     13.2 Where is edge AI needed?
     13.3 Edge AI hardware
     13.4 Edge AI use case implementations
     13.5 Key takeaways
14 Navigating the intersect of AI, environment and energy for a sustainable future
     14.1 Understanding AI's environmental impact
     14.2 Innovations in environmentally efficient AI
     14.3 AI-driven environmental sustainability across industries
     14.4 Standards, policies and regulations for sustainable AI and environment
15 Future Networked Car Symposium 2025
     15.1 How AI can improve mobility for a better future
     15.2 The revolution of AI automotive systems infrastructure
     15.3 AI automotive applications ethics and their human elements
     15.4 MoU between ITU and SAE
     15.5 The role of standards in shaping autonomous mobility
16 AI readiness workshop
     16.1 Introduction
     16.2 Pilot AI readiness plugfest presentation and partner sharing
     16.3 Outcomes
17 AI for agriculture – shaping standards for smart food systems
     17.1 Dialogue on digital agriculture roadmap
     17.2 Demo: Project Resilience
     17.3 Farming the future – Laying the groundwork for scalable AI
     17.4 Key outcomes
18 Women leaders in AI and standards
Part 3: Future AI standards for frontier technologies
19 AI and virtual worlds: Building the cities and governments of tomorrow
     19.1 Virtual worlds, metaverse and citiverse – need for standards
     19.2 Policy frameworks for virtual worlds
20 Brain-computer interfaces
     20.1 Keynote address
     20.2 Opportunities and challenges of BCI
     20.3 Industrialization and commercialization barriers of BCI
     20.4 Standardization and global cooperation
     20.5 Key outcomes
21 Building the technical foundations for embodied intelligence in connected ICT environments
     21.1 Defining embodied intelligence
     21.2 Technical and infrastructural challenges
     21.3 Standardization gaps and needs
     21.4 Collaboration across standards bodies
     21.5 Looking forward
Part 4: Quantum for Good
22 Quantum for Good Track
     22.1 From promise to progress: Focusing on real use-cases
     22.2 Quantum dilemma and risks
     22.3 Inclusion and workforce: Building capacity for all
     22.4 International collaboration and standards for quantum
     22.5 The road to lasting impact
     22.6 Future directions
Acknowledgements