The SmartCitiesWorld Summit 2026 hosted a compelling virtual panel discussion titled 'OnDemand Trend Report Panel Discussion: AI for personalised government services – building trust and inclusivity in cities.' This session brought together thought leaders, city officials, and technology experts to examine how artificial intelligence can be systematically integrated into mainstream local government operations. The overarching theme was clear: AI holds immense potential to tailor public services to individual needs, but its success hinges on fostering citizen trust and ensuring that no community is left behind.

The panel began by addressing the fundamental shift required to move AI from experimental pilots to everyday governance. Panellists argued that the future of cities depends on connecting people, data, infrastructure, and investment into coherent, place-based strategies. Climate finance, resilient infrastructure, and AI-enabled public services were identified as three pillars of this transformation. By embedding AI into service delivery, local authorities can offer personalised recommendations, automate routine processes, and predict citizen needs before they arise.

Sam Markey, Founder of Recurve, contributed a critical perspective on the role of procurement. He argued that strategic procurement is one of the most underused tools for building resilience, local capacity, and long-term climate impact. When cities design procurement frameworks that prioritise innovation and sustainability, they can steer AI projects toward inclusive outcomes. For example, procurement criteria can require vendors to demonstrate how their algorithms avoid bias and how they will engage with underrepresented communities during deployment.

The discussion then turned to real-world examples. Sunderland’s city profile highlighted its repositioning as a leading smart city through digital infrastructure and low-carbon innovation. The city has invested in a fibre-optic backbone, open data platforms, and AI-driven energy management systems. These technologies support personalised services such as smart traffic routing that reduces congestion for school buses and emergency vehicles, and a virtual assistant that helps residents navigate social services. By focusing on low-carbon innovation, Sunderland also ensures that its AI initiatives contribute to long-term environmental goals, building trust among environmentally conscious citizens.

Dublin provided another compelling case. The city has implemented digital twin projects that create virtual replicas of physical assets, allowing officials to simulate the impact of policy changes before implementation. AI algorithms analyse traffic patterns to suggest personalised commute alternatives, reducing travel time and emissions. Dublin has also launched an economic growth initiative that uses AI to match job seekers with training opportunities tailored to their skills and local industry demands. The city’s approach to inclusivity involves public consultations on data use and transparency reports that explain how AI decisions are made.

Cybersecurity emerged as a critical trust-building factor. The panel referenced the 'Cities Thriving on Lighting' series, which explores how global cities are approaching smart lighting. As streetlights become connected nodes in the Internet of Things, they generate vast amounts of data that can be used to personalise public safety responses. However, the series warned that without robust cybersecurity measures, these systems become vulnerable to attacks that could erode public trust. Cities are therefore adopting encryption, regular security audits, and standardised protocols to ensure that personalised services remain secure.

Katherine Flesh of Microsoft shared insights on the role of data governance in transport agencies. As these agencies turn to AI to improve services — such as personalised real-time travel information or predictive maintenance for trains — the greatest opportunities depend on strong data foundations. She emphasised that workforce readiness is equally important; employees need training to understand AI outputs and to intervene when algorithms produce unexpected results. Responsible governance frameworks must include ethical review boards and transparent performance metrics to hold systems accountable.

The panel also drew on perspectives from Ecomondo, the international trade show focused on green technologies. Ecomondo representatives explained that priorities such as healthier, more sustainable cities require practical solutions that can be scaled. The SmartCitiesWorld Summit provides a valuable platform for sharing these solutions and building new connections between the private sector, academia, and local governments. The intersection of AI and environmental sustainability was highlighted as a key area for personalised services, such as smart waste collection that adjusts routes based on real-time fill levels.

Other on-demand resources from the summit further expanded on these themes. One webinar examined digital twins and AI as the intelligent operating layer for cities. It described how these technologies can create a unified view of urban systems, enabling personalised alerts about air quality or energy consumption. Another webinar focused on getting data strategies right for smarter sites and safer operations. The key takeaway was that data quality and interoperability are prerequisites for any AI-driven personalisation effort.

The SmartCitiesWorld newsletters, delivered daily and weekly, served as a constant thread for the summit community. They curate the latest news, city interviews, special reports, and guest opinions, allowing practitioners to stay informed on emerging best practices. Many participants noted that the newsletter format itself can be personalised using AI to recommend articles based on user interests, further demonstrating the potential for tailored government communication.

Throughout the panel discussion, participants returned to the challenge of inclusivity. Personalised services must be accessible to citizens with different levels of digital literacy, language proficiency, and physical abilities. Cities are experimenting with multilingual chatbots, voice interfaces for visually impaired users, and offline service points that sync with online systems. Building trust also requires clear communication about what AI can and cannot do, and mechanisms for citizens to contest automated decisions.

The conversation concluded with a forward-looking note on systems thinking. Panellists argued that AI can only deliver on its promise if cities adopt a holistic view that connects climate resilience, economic development, and social equity. By integrating AI into a broader strategy — one that respects data privacy, invests in digital infrastructure, and maintains human oversight — local governments can create personalised services that people actually want to use. The SmartCitiesWorld Summit 2026 demonstrated that while the path is complex, the potential rewards are immense: more responsive, efficient, and fair cities for everyone.

Source:Smart Cities World News