| WG1: Terminology, Taxonomy, Vision and Strategies | WG 1 reports to the Plenary. The scope of WG 1 is to develop a shared vision, common terminology, definitions and taxonomy for AI for smart sustainable cities and communities (AI4SSC), and to identify key enabling AI technologies (e.g., generative AI, agentic AI, physical AI, spatial AI) relevant to AI-enabled urban systems and services. WG 1 also studies AI adoption and integration strategies, and performs gap analysis of the existing standardization landscape to develop a roadmap for future ITU-T work items under SG20. | Chair: Marios Angelopoulos (Greece) Vice-chair: Ahmed Abdelhamid (LTS, Egypt)
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TG 1.1: Vision, concept, terminology, definitions and taxonomy | TG 1.1 reports to WG 1 and focuses on articulating a shared vision and conceptual foundation for AI-enabled urban systems and services, describing how AI technologies integrate into the citiverse and support the digital transformation of cities and communities. It will also develop harmonized definitions, terminology and taxonomy for AI4SSC to ensure a common understanding across stakeholders and consistency across all FG-AI4SSC deliverables.
| Chair: Xiaomi An (Renmin University of China)
Vice-chair: Abdelrhman Rayis (Keele University) | Technical Specification | Methodology, Concept System, and Vocabulary for AI for Smart Sustainable Cities and Communities | Xiaomi An, Zhiying Sun, Rongpei Ma, Jing Yin, Fuquan Wen (Renmin University of China)
Kewei Zhang (Hunan University of Information Technology) | March 2027
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| Technical Specification | Machine-Actionable Ontologies and Knowledge Graphs for Urban AI | Abdelrhman Rayis (Keele University, United Kingdom) | March 2027 |
TG 1.2: AI Adoption and Integration Strategy | TG 1.2 reports to WG 1 and focuses on developing guidance for the adoption and integration of relevant enabling AI technologies into smart sustainable cities and communities, including strategic considerations for cities, governments, operators and industry. | Co-chairs: Leonidas Anthopoulos (University of Thessaly, Greece) Michael Jacobs (IBM) | Technical Report | Taxonomy of AI Solutions and Services in SSC&C | Leonidas Anthopoulos (University of Thessaly, Greece) Sophia Papathanasopoulou (Ministry of Digital Governance, Greece) | March 2027 |
| Technical Specification | A framework of AI adoption in SSC&C governments | Leonidas Anthopoulos (University of Thessaly, Greece) Sophia Papathanasopoulou (Ministry of Digital Governance, Greece) | March 2027 |
TG 1.3: AI Technologies | TG 1.3 reports to WG 1 and focuses on identifying and studying key enabling AI technologies for smart sustainable cities and communities, such as generative AI, agentic AI, physical AI and spatial AI, including their characteristics, capabilities and applicability to AI-enabled urban systems and services. | Chair: Yong-Geun Hong (Daejeon University)
Vice-chairs: Weiming Huang (University of Leeds, United Kingdom) Yuanhong Li (Shenzhen Institute of Standards and Technology) | Technical Report | Urban foundation models: taxonomy, capabilities and characteristics for city adoption | Weiming Huang (University of Leeds, United Kingdom) | March 2027 |
| Technical Report | Artificial Intelligence for Smart Sustainable Cities and Communities: Technical Foundations, Urban Applications and Enabling Capacities | Mingke Ma (University of Oxford) | March 2027 |
| Technical Report | Physical AI for AI-Enabled Smart Sustainable Cities: Concepts, Taxonomy and Reference Framework | Xie Bin, Yang Liu, Wu Kangqiao (CAICT), Zihang Yin (BUPT), Yong-Geun Hong, Seongbok Baik (Daejeon University) | March 2027 |
| Technical Report | Agentic AI for AI-Enabled Smart Sustainable Cities: Concepts, Taxonomy and Reference Framework | Yong-Geun Hong, Seongbok Baik (Daejeon University) | March 2027 |
| Technical Report | Reality Execution Assurance (REA): technical characteristics, capabilities and applicability for agentic and physical AI in urban systems and services | Yong-Geun Hong, Seongbok Baik (Daejeon University) Jongmyung Jeong (Korea Telecom) | March 2027 |
| TG1.4: Standardization Gap Analysis and Roadmap | TG 1.4 reports to WG 1 and focuses on performing gap analysis of existing standardization activities related to AI4SSC, identifying overlaps and coordination needs, and developing a roadmap for the transition of Focus Group outputs into future ITU-T Recommendations under SG20. | Chair: Toru Yamada (NEC, Japan)
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| WG2: Use Cases, Requirements, Reference Architecture and System Integration | WG 2 reports to the Plenary. The scope of WG 2 is to develop architectural frameworks and reference models for AI-enabled urban systems and services that enable interoperable and scalable deployments across vertical domains, and to identify use cases, characteristics and requirements for specific sector applications and services (e.g., mobility, energy, water, waste, public safety, health, environmental monitoring, urban planning). WG 2 establishes vertical Task Groups as needed to address requirements and reference architecture for individual application domains, including spatial AI approaches for digital-physical convergence that integrate geospatial systems, digital twins and real-time sensing to produce reusable outputs. | Co-chairs: Changkyu Lee (ETRI, Rep. of Korea) Dennis N. Mwighusa (Africa Research Institute For AI)
Vice-chairs: Bamidele Adebisi (Manchester Metropolitan University) Tongtong Cheng (CAICT)
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TG 2.1: Cross-Domain Use Cases and Requirements | TG 2.1 reports to WG 2 and focuses on identifying and documenting representative cross-domain use cases and requirements that illustrate the value AI technologies bring to smart sustainable cities and communities across sectors such as mobility, energy, water, waste, safety, health, environment, public services and urban planning. | Chair: Xingyu Shang (China Telecom)
| Technical specification
| Requirements for digital representation of physical AI systems in smart cities and communities
| Changkyu Lee (ETRI, Korea (Rep. of))
| March 2027
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| TG 2.2: Use Cases, Requirements and Reference Architecture for AI enabled Integrated Energy Systems and Low carbon Services | TG 2.2 reports to WG 2 and focuses on energy systems and low carbon services domain with its own use cases, requirements and reference architecture. | Co-Chairs: Yong Yan (State Gird Corporation of China) Nabil Abdennadher (University of applied Sciences and Arts, West. Switzerland (HES-SO)) Vice-chair: Olamide Jogunola (Manchester Metropolitan University) | Technical Specification | Use Cases and System Integration Requirements for AI-enabled Coordination of Renewable Power Generation and Flexible Power-to-Methanol Production in Smart Sustainable Industrial Parks
| Tangjun Dan, Yifa Zhang, Jian Wang (Shanghai Power Equipment Research Institute Co., Ltd.) | March 2027 |
| Technical Specification | Use Cases and Technical Requirements for AI-enabled Carbon Accounting Data Preparation and Validation in Smart Sustainable Industrial Parks
| Weixian Wang, Mingyu Pan, Lu Zhang (State Grid Corporation of China) | March 2027
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Technical Report
| Research and Practical Case Studies on Artificial Intelligence Application for Urban Power Grid Operation and Maintenance
| Ye Jun, Xin Tuo, Ye Zhenhao (China Southern Power Grid Shenzhen Power Supply Co, Ltd)
Li Yuanhong, Yi Xiaoshan (Shenzhen Institute of Standards and Technology)
Qiying Wu (CAICT)
| March 2027
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| TG 2.3: Use Cases, Requirements and Reference Architecture for AI-enabled Water Environment Monitoring and Urban Governance | TG 2.3 reports to WG 2 and focuses on AI-enabled Water Environment Monitoring and Urban Governance domain with its own use cases, requirements and reference architecture.
| Chair: Qi Liu (China Unicom Smart City Research Institute)
| Technical Report | Use Cases for AI-enabled Water Environment Monitoring and Urban Governance | Qi Liu, Chuanxin Zeng, Zhonghua Chu (China Unicom) Qiying Wu (CAICT) | March 2027 |
| TG 2.4: Use Cases, Requirements and Reference Architecture for AI-enabled Disaster Resilience & Critical Infrastructure | TG 2.4 reports to WG 2 and focuses on AI-enabled Disaster Resilience & Critical Infrastructure domain with its own use cases, requirements and reference architecture.
| Chair: Ke Shi (China Unicom)
| Technical Specification | Use cases and requirements of AI-based disaster situational awareness system for city infrastructures | Zihang Yin (Beijing University of Posts and Telecommunication) Fan Liu, Songhai Fan, Xianghang Bu (State Grid Corporation of China) Ke Shi (China Unicom) | March 2027
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| TG 2.5: Use Cases, Requirements and Reference Architecture for AI-enabled City-scale Commerce and Logistics | TG 2.5 reports to WG 2 and focuses on AI-enabled City-scale Commerce and Logistics domain with its own use cases, requirements and reference architecture. | Chair: Ricardo Brown (April Labs)
| Technical Specification | Requirements and Reference Architecture for Trust-Continuous GS1 Product Resolution | Ricardo Brown (April Labs) | March 2027 |
| WG3: Interoperability, Data and Coordination Mechanisms | WG 3 reports to the Plenary. The scope of WG 3 is to study interoperability and coordination mechanisms enabled by AI technologies across city operational systems, including Minimum Interoperability Mechanisms (MIMs), and to address requirements for supervisory and control mechanisms in AI-enabled urban systems and services, taking into account service criticality and operational requirements. WG 3 also studies data aspects of AI technologies for smart sustainable cities and communities, including data interoperability, sharing, quality and lifecycle considerations. | Co-chairs: Martin Brynskov (OASC) Chao Ma (National Data Development Research Institute, China)
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| TG 3.1: Interoperability of Infrastructure for AI-Enabled Cities and Communities | TG 3.1 reports to WG 3 and focuses on research and analysis of interoperability high-level requirements and frameworks for the integration of heterogeneous AI-enabled urban systems, platforms and infrastructures, including Minimum Interoperability Mechanisms (MIMs) and related supervisory and control mechanisms. | Co-chairs: Antonio Jara (Libelium) Kyoungjae Sun (ETRI) | Technical Specification | High-level requirements and framework for AI-enabled interoperability across urban infrastructures in smart sustainable cities and communities | Kyoungjae Sun (ETRI, Korea (Rep. of)) | March 2027 |
| Technical Report | Interoperability mechanisms for distributed trusted data exchange across urban AI data spaces and heterogeneous city data platforms | Song Luo, Su Yao (Tsinghua University) Chao Ma, Shi Rong (National Institute of Data Development (NIDD), China) | March 2027 |
| TG 3.2: Interoperability of AI-Enabled Services for Smart Sustainable Cities and Communities | TG 3.2 reports to WG 3 and focuses on research and analysis of interoperability high-level requirements and frameworks for the integration and coordination of diverse, complex and highly repetitive (recurring) AI-enabled services across smart sustainable cities and communities, including agent-based approaches to achieving interoperability among such services. | Chair: Younghwan Choi (ETRI) | Technical Specification | AI agent-based framework for cross-domain interoperability of smart sustainable city services | Younghwan Choi (ETRI, Korea (Rep. of)) | March 2027 |
TG 3.3: Urban Data Architecture, Data Spaces and Data Interoperability
| TG 3.3 reports to WG 3 and focuses on research and analysis of requirements and architectural principles for interoperable urban data exchange, including data models, metadata, semantic interoperability, data spaces, data catalogues, data quality, provenance, lineage and federated data-sharing mechanisms. | Co-chairs: Olaf-Gerd Gemein (OASC) Rong Shi (National Data Development Research Institute, China)
| Technical Report | Reference Architecture for Centralized Urban Data Lake and Lakehouse Platforms Supporting AI-Enabled Smart Sustainable Cities and Communities | Aliya Almatova, Adilet Aisautov (National Information Technologies JSC (NITEC), Kazakhstan) | March 2027 |
| Technical Specification | MIMs based executable AI skills testbed | Olaf-Gerd Gemein and Michael Mulquin (OASC) | March 2027 |
| Technical Report | Framework and General Requirements for AI-based Urban Data Cataloguing and Quality Grading | Cheng CHI, Husheng LI, Chenze LIU (China Industrial Control Systems Cyber Emergency Response Team) Chao MA (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Provenance-based impact analysis and coordination of data lifecycle changes in urban AI systems | Zongxiang Li, Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Identity-linked cross-domain data usage control for urban AI data sharing | Song Luo, Su Yao (Tsinghua University) Chao Ma, Shi Rong (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Reference Workflow for Controlled Processing of Externally Supplied Urban Data in Trusted Environments | Yiming Liu, Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Contextual metadata for cross-organizational sharing of AI-derived grid observations and forecasts in urban electricity distribution networks | YongJun Zhao (China Southern Power Grid Company Limited) Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Data interoperability for AI-enabled digital twins in power grids | Haiqing An, Shun Wu, Li Deng (State Grid Corporation of China) Chao Ma, Rong Shi Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Data interoperability for AI-enabled coordination between large-scale urban electric vehicle charging and distribution grids | Xing He (Shanghai Jiaotong Universit) Zhen Zhang (State Grid Corporation of China) Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Contextual data interoperability for AI-enabled coordination of power distribution and energy-use systems in industrial parks | Xing He (Shanghai Jiaotong University) Zhen Zhang (State Grid Corporation of China) Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Data and AI resource interoperability in urban microgrid data spaces | Ti Guan, Shengqi Zhou (State Grid Corporation of China)
Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Specification | Use Cases and Requirements for AI-enabled Interoperability and Coordination of Electricity and Carbon Data in Smart Sustainable Cities and Communities | Zhipeng Sun, Shuai Xu, Huan Yao (State Grid Corporation of China) Jiahe Wang (Hangzhou Sunwalk New Energy Co., Ltd.) | March 2027 |
| Technical Report | Operational coordination mechanisms for shared AI-enabled edge infrastructure in urban electricity distribution networks | Wei Chen (China Southern Power Grid Company Limited) Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
TG 3.4: Urban Data Multi-Level Governance and Institutional Coordination Mechanisms | TG 3.4 reports to WG 3 and focuses on research and analysis of institutional and multi-stakeholder coordination models supporting interoperable AI-enabled city and community ecosystems, including roles, responsibilities, governance of shared infrastructures, cross-jurisdictional cooperation and coordination of standards implementation. | Chair: Yukiko Nakatsu (Dentsusoken, Inc., Japan) | Technical Report | Governance and Coordination of Shared Policy-Bound Data-Use Token Services for Urban AI | Rong Shi, Chao Ma (National Institute of Data Development (NIDD), China) | March 2027 |
| Technical Report | Allocation of roles and responsibilities for shared digital infrastructures in AI-enabled cities and communities | Yukiko NAKATSU (Dentsusoken, Inc., Japan) | March 2027 |
| WG4: Lifecycle Management, Evaluation, Benchmarking and AI Readiness Assessment | WG 4 reports to the Plenary. The scope of WG 4 is to establish lifecycle management, evaluation and assessment frameworks for AI technologies for smart sustainable cities and communities, including benchmarking, monitoring and international comparability mechanisms, and to assess AI readiness, preparedness for adoption and integration, and roadmap research for cities and communities. | Co-chairs: Okan Geray (Dubai Digital Authority) Zihang Yin (CAICT, China)
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| TG 4.1: Lifecycle management | TG 4.1 reports to WG 4 and focuses on lifecycle management aspects of AI technologies for smart sustainable cities and communities, usable by cities, governments, regulators, operators and industry. | Chair: Ian Nyasha Mutamiri (Postal and Telecommunications Regulatory Authority of Zimbabwe)
| Technical Report | Lifecycle Management Guidelines for AI Applications in Smart Sustainable Cities and Communicates | Yang Liu, Tingting Xu, Zihang Yin, Tongtong Cheng (CAICT) Ian Nyasha Mutamiri (Postal and Telecommunications Regulatory Authority of Zimbabwe)
| March 2027 |
TG 4.2: AI Readiness, Evaluation and Assessment Frameworks | TG 4.2 reports to WG 4 and focuses on developing frameworks and methodologies to assess the readiness of smart sustainable cities and communities for AI adoption and integration, as well as to evaluate the implementation and performance of AI technologies. Its work includes readiness assessments, roadmap development, benchmarking, monitoring and international comparability mechanisms, leveraging relevant existing ITU-T Recommendations, other standards and methodologies, where appropriate. | Co-chairs: Mohamed Aljaziri (Dubai Digital Authority) Qiying Wu (CAICT)
Vice-chairs: Joyce Fredrick Ngowi (TCRA, Tanzania) Raouf Riahi (GRSS Consulting Group, Tunisia) | Technical Report | Framework for AI Readiness, Integration, and Operational Resilience Assessment in SSC&C | Islam Gouda Raouf Riahi (GRSS Consulting Group, Tunisia) Yang Liu, Jianfeng Shi, Yuanchao Liu (CAICT) Ziqin Sang (CICT) Yazan Alshamaileh (The University of Jordan) Joyce Ngowi, Sophia Nahoza (Tanzania Communications Regulatory Authority, United Republic of Tanzania) | March 2027 |
| Technical Report | Assessment Dimensions and Methods for AI-enabled Smart Sustainable Cities | Yang Liu, Qiying Wu, Tongtong Cheng, Zihang Yin (CAICT) Ziqin Sang (CICT) | March 2027 |
| Technical Report | Framework for system-level evidence composition and reporting for trustworthiness and operational resilience of AI-enabled urban services | Segun Popoola (Anglia Ruskin University) | March 2027 |
| Technical Specification | Maturity Assessment Model for Intelligent Energy Management System in Smart Sustainable Cities and Communities | Chen Tunan (China Southern Power Grid, Shenzhen Power Supply Co, Ltd) Li Yuanhong, Yi Xiaoshan, Zhao Ying (Shenzhen Institute of Standards and Technology) | March 2027 |
| TG 4.3: Assurance Evidence Interfaces | TG 4.3 reports to WG 4 and focuses on requirements and interfaces for generating, structuring, exchanging and verifying evidence concerning the performance, reliability and responsible operation of urban AI systems throughout their lifecycle. | TBC | | | | |
| WG5: Human-Centricity and Sustainability | WG 5 reports to the Plenary. The scope of WG 5 is to study human-centric and sustainability aspects of AI technologies for smart cities and communities. This includes accessibility, digital inclusion and digital health related to smart sustainable cities and communities, as well as human-AI collaboration in urban services. It also covers sustainability aspects of AI-enabled systems, including measuring and reporting energy consumption and carbon footprint associated with city-scale AI deployments. | Co-chairs: Yong Jick Lee (Korea Center for Accessible ICT) Aline Matta (UN-Habitat)
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TG 5.1: Accessible and inclusive AI for cities and communities | TG 5.1 reports to WG 5 and focuses on the human-centric aspects of AI technologies for smart sustainable cities and communities, including accessibility, digital inclusion, and digital health, as well as human-AI collaboration in urban services. | Chair: Pilar Orero (Universitat Autònoma de Barcelona, Spain)
Vice-chair: Katharine Willis (University of Plymouth) | Technical Report | Deployment scenarios and interoperability considerations for inclusive learning services in AI-enabled smart sustainable cities and communities | Guksik Jeong (Telecommunications Technology Association Korea (Republic of)) Yong Jick Lee (Korea Center for Accessible ICT) | March 2027 |
| Technical Specification | Framework and technical requirements for accessible and inclusive AI services in smart sustainable cities and communities | Yong Jick Lee (Korea Center for Accessible ICT) Guksik Jeong (Telecommunications Technology Association Korea (Republic of)) Pilar Orero (Universitat Autonoma de Barcelona, Spain) Smrite Goudhaman (Golden Gate University, India) Laura McGillicuddy | March 2027 |
| Technical Report | Guidelines and use cases for applying accessibility and digital inclusion requirements to AI-enabled services in smart sustainable cities and communities | Yong Jick Lee (Korea Center for Accessible ICT) Guksik Jeong (Telecommunications Technology Association Korea (Republic of)) Pilar Orero (Universitat Autonoma de Barcelona, Spain) Smrite Goudhaman (Golden Gate University, India) Laura McGillicuddy | March 2027 |
| TG 5.2: Sustainability aspects of AI-enabled cities and communities | TG 5.2 reports to WG 5 and focuses on sustainability aspects of AI-enabled systems, including measuring and reporting energy consumption and carbon footprint associated with city-scale AI deployments, leveraging existing ITU-T Recommendations, other standards and methodologies where appropriate. | Chair: Hao Wu (CICT)
Vice-chairs: Marta Koch (Imperial College London) Himanshu Shekhar (United Nations University)
| Technical Report | Guidance on Assessing the Sustainability Impacts of AI-Enabled Urban Systems | Marta Koch (Imperial College London, United Kingdom) | March 2027 |
| WG6: Engagement and Outreach | WG 6 reports to the Plenary. The scope of WG 6 is to support collaboration and knowledge exchange related to AI for smart sustainable cities and communities through the organization of forums, workshops, panels, challenges and hackathons, and to raise the visibility of FG-AI4SSC activities, including coordination with relevant ITU and UN initiatives (e.g., AI for Good Global Summit, United for Smart Sustainable Cities initiative, UN Virtual Worlds Day, and the Global Initiative on AI and Virtual Worlds – Discovering the Citiverse). WG 6 also identifies stakeholders and partners with whom ITU-T could collaborate, and develops toolkits and awareness materials to support broad, inclusive engagement from both ITU members and non-members. | Co-chairs: Sophia Nahoza (Tanzania) András Szörényi (Global Cities Hub)
Vice-chair: Namrata Singh (India)
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