Fixing Bad Government UX with AI and Crypto
A recent social media discussion posited that government is the biggest 'tech company' in every country, but with terrible UX. The commentator argued that fixing it is tough but that a combination of AI and blockchain for sensitive data handling could be the solution.
In Europe, the push to modernize public services is backed by significant policy. The European Commission's "Apply AI Strategy" encourages an 'AI first' policy for public sector organizations to tackle challenges, aiming to boost the efficiency and accessibility of services. This aligns with the broader Digital Services Act (DSA) which creates a unified regulatory framework, moving beyond the 27 different national regulations to foster innovation and legal certainty for digital services across the EU. A key driver for improving government UX is legally mandated accessibility. The EU's Web Accessibility Directive (2016/2102) requires public sector websites and apps to comply with the Web Content Accessibility Guidelines (WCAG) 2.1 Level AA. This is enforced through the harmonized European standard EN 301 549, which extends WCAG principles to a broader range of information and communication technology, making accessibility a core requirement in public procurement. Concrete applications of AI in European public services are already demonstrating value. In Portugal, the ePortugal portal uses a 24/7 virtual assistant named Sigma to answer citizens' frequently asked questions. Meanwhile, in Denmark, a chatbot named Muni assists residents across 37 municipalities, and Verona, Italy, uses an AI system to analyze sensor data and manage traffic congestion at busy intersections. Beyond simply digitizing forms, leading governments are adopting service design to re-imagine service delivery around user life events. Finland's "zero-touch" model aims to proactively deliver services based on events like the birth of a child, eliminating the need for citizens to apply at all. This approach, also being advanced by entities like France's DITP (Direction Interministérielle de la Transformation Publique), shifts the focus of civil servants from processing requests to designing seamless service journeys. For science and technology agencies, AI offers a path to remedy the notoriously difficult user experience of grant applications. Researchers traditionally face time-consuming bureaucracy, complex requirements, and potential bias. AI-powered platforms are being developed to streamline this process by auto-filling information, suggesting relevant funding opportunities, and even enhancing the quality of grant proposals with advanced language processing tools. Successfully implementing these technologies requires navigating significant bureaucratic hurdles. GovTech initiatives often clash with rigid procurement processes, outdated IT systems, and a culture resistant to agile, iterative design. Overcoming this involves moving toward smaller, outcome-based contracts and, crucially, investing in the skills and confidence of civil servants to foster a culture of innovation.
