The report concludes that realising the benefits of AI in local government requires governance approaches that extend beyond technological implementation and develops a responsible AI framework centred on four core principles: transparency, accountability, institutional capability, and citizen engagement.
Abstract
Artificial intelligence (AI) is increasingly transforming local government by enhancing data-driven decision-making, service delivery, and administrative efficiency. However, its growing adoption also raises significant governance challenges relating to transparency, accountability, institutional capability, data governance, and public trust. This report examines the emerging role of AI in local government and identifies the governance mechanisms required to support its responsible implementation. The report combines conceptual analysis, policy review, and empirical evidence to examine AI adoption from both institutional and societal perspectives. It reviews the evolution of AI research and policy within local government and maps current and emerging AI applications across key service domains, including urban planning, transportation, environmental management, healthcare, public safety, and citizen engagement. The report further examines the policy and governance landscape supporting AI adoption and develops a responsible AI framework centred on four core principles: transparency, accountability, institutional capability, and citizen engagement. Empirical findings, drawing on cross-national public surveys alongside surveys and interviews with local government practitioners, reveal both shared and divergent perceptions regarding AI adoption. While respondents recognise AI’s potential to improve efficiency, service quality, and evidence-based decision-making, concerns remain regarding fairness, explainability, accountability, regulatory readiness, and institutional capacity. Synthesising these findings, the report identifies six interrelated categories of governance risks encompassing regulatory, institutional, operational, accountability, democratic, and workforce dimensions. The report concludes that realising the benefits of AI in local government requires governance approaches that extend beyond technological implementation. Responsible AI adoption depends on robust policy frameworks, organisational capability, effective data governance, transparent oversight, meaningful public engagement, and workforce preparedness. By integrating these governance principles, local governments can harness AI to improve public services while safeguarding democratic values, institutional integrity, and public trust.
The application of artificial intelligence (AI) technologies in the public sector has led to improved public services, enhanced administrative performance, and strengthened automated decision-making. However, the increasing reliance on AI systems has raised concerns regarding accountability, ethical compliance, privacy protection, transparency, human oversight, and risk management. This study, employing both conceptual and qualitative research methodologies, examines the governance factors and requirements for responsible AI implementation in the public sector. The research methodology includes a comparative analysis of international AI governance frameworks and regulations. The study identifies key dimensions influencing responsible AI implementation, such as accountability, human oversight, ethical governance, legal compliance, risk management, and transparency. The findings demonstrate that the adoption of responsible AI cannot be achieved through technological means alone but also requires a commitment to comprehensive governance mechanisms. Furthermore, the sequential interaction and interdependence of governance factors reduce operational and societal risks, increase transparency and explainability, and foster public trust in the systems. This study contributes to enriching the culture and knowledge of AI governance, and the proposed framework helps government sector leaders develop responsible AI governance in accordance with international standards and regulations.
Ghazwan Hani Hussein, Faiza Mohamed, A. Abuzreda· Journal of Technology and Sy...· 0 citations
The findings suggest that responsible AI adoption strengthens public governance by improving transparency, efficiency, and service accessibility, while social justice significantly enhances citizens' trust in government institutions.
H. Bashir, Saima Khan, Waseem Ullah· Aposta: Revista de Ciencias...· 0 citations
The study concludes that Nigeria can maximize the benefits of AI by strengthening legal and institutional frameworks, investing in digital infrastructure and human capital, promoting ethical AI practices, and fostering collaboration among government, academia, and the private sector to achieve sustainable national development.
Ubokuloh Okon· International Journal of Pub...· 0 citations
This article examines the interaction between artificial intelligence (AI) governance, donor dependency, human rights protection and economic sustainability in Ukrainian local self-government. The research employs doctrinal analysis, an institutional approach, a comparative legal methodology and an exploration of EU regulatory and policy documents concerning AI governance and digital transformation. Although donor-supported AI initiatives have generated important short-term benefits for local self-government bodies, crisis management and public services, many projects remain institutionally fragile and economically unsustainable once external funding cycles expire. The study shows that excessive reliance on donor financing can lead to a 'donor dependency trap', characterised by fragmented digital infrastructure, insufficient local administrative capacity, weak institutional integration and limited long-term financial sustainability. Meanwhile, the rapid introduction of AI technologies in local self-government raises serious human rights issues, especially concerning privacy protection, algorithmic discrimination, the transparency of automated decision-making processes, and the lack of effective oversight and appeal mechanisms. The article argues that the sustainable integration of AI in local self-government should not be viewed merely as a technological modernisation process, but as a broader constitutional and institutional transformation that complies with European standards of trustworthy AI governance. This requires stable domestic financing mechanisms, transparent procurement procedures, meaningful human oversight, unified interoperability standards and comprehensive legal safeguards that are consistent with the EU Artificial Intelligence Act and broader European human rights principles. The study concludes that Ukraine’s successful European integration and post-war reconstruction depend not only on accelerating digital innovation, but also on embedding AI technologies within sustainable democratic, legal and economic institutions that can ensure long-term resilience, accountability and the protection of human rights.
Z. Ivantsova, V. Barvinenko, Наталья Викторовна Мишина· Baltic Journal of Economic S...· 0 citations
This paper analyzes the regulation of Artificial Intelligence (AI) in Indonesian regional government from a public law and administrative governance perspective. Under Law No. 23 of 2014 on Regional Government, regional governments exercise authority over at least 32 concurrent governmental affairs that increasingly require technological innovation to improve efficiency, accountability, and public service delivery. Despite the growing adoption of AI, its utilization raises legal challenges, including data protection risks, algorithmic bias, accountability gaps, and fragmented governance practices. Using a normative juridical approach with doctrinal, policy, and limited comparative illustrative analysis, this study examines the existing legal framework governing electronic-based government administration, including the Regional Government Law, the Law on the Formation of Legislation, the Law on Government Administration, and related regulatory instruments. The findings reveal the absence of a specific and integrated legal framework regulating AI utilization at the regional government level, resulting in legal uncertainty and inconsistent implementation across regions. This paper argues that Regional Regulations (Peraturan Daerah) provide the most appropriate legal instrument to govern AI utilization in regional government, grounded in principles of regional autonomy, legislative authority, and administrative discretion. Proactive regional regulation is therefore essential to ensure lawful, transparent, and trustworthy AI governance.
Imelda, Rozi Beni· Nusantara Science and Techno...· 0 citations
Artificial Intelligence is increasingly shaping public sector management across the world, including the management of human resources. Governments are exploring automated systems to improve recruitment, workforce analytics, performance monitoring, and service delivery efficiency. Despite growing global interest, the adoption of Artificial Intelligence within human resource management in the South African public sector remains uneven and underexamined in academic literature. This article investigates how Artificial Intelligence technologies are influencing human resource management practices within public institutions and evaluates the institutional readiness for broader adoption. The study uses a systematic literature review of recent peer reviewed publications, policy documents, and international governance reports published between 2020 and 2026. Findings indicate that Artificial Intelligence offers significant potential to enhance administrative efficiency, workforce planning, and evidence-based decision making. However, adoption is constrained by governance concerns, digital skills gaps, ethical risks, and limited technological infrastructure in many government departments. The study also identifies emerging opportunities for predictive workforce analytics, automated recruitment screening, and digital performance management systems. The article concludes that while Artificial Intelligence can strengthen human resource management within the public sector, successful implementation requires institutional reforms, investment in digital competencies, and clear governance frameworks. These findings contribute to the growing discourse on digital transformation in public administration and highlight strategic priorities for the modernisation of human resource management in South Africa.
H. Motsepe· International Journal of App...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
