How governments use AI, blockchain, and public feedback to improve open data

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The article opens several important perspectives for both research and practice in e-government and digital governance. One key perspective is the shift toward co-creation of public value. Open data is no longer treated as a one-way release of information but as a collaborative process where citizens, developers, and institutions jointly improve datasets and services through continuous feedback. Another perspective concerns the growing role of AI and blockchain as governance tools. The study suggests that AI can personalize and automate feedback collection, and blockchain can ensure data integrity and verification. This points toward a future where public sector data systems become more intelligent, adaptive, and trustworthy. The article also highlights a comparative and global perspective. By analyzing 29 countries, it shows that different institutional contexts adopt diverse feedback mechanisms, encouraging further cross-national research on what works best in different political, administrative, and technological settings. In addition, it introduces a policy and design perspective, emphasizing that governments should build user-centered platforms with integrated feedback loops, social interaction tools, and incentives for participation. This has implications for how future e-government systems are designed and managed. Finally, the article suggests a broader innovation perspective, where open data ecosystems become dynamic environments supporting startups, civic tech, and data-driven services. This transforms public data into a driver of economic and social innovation rather than just an administrative resource. Overall, these perspectives position open data as part of a more interactive, technology-enabled, and participatory model of governance.

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