AI Governance
Policy, Risk, and Responsible AI Systems
Publishing model
Open Access
Aims & Scope
Journal of AI Governance is a peer-reviewed, open-access journal dedicated to advancing research and practice in the governance of artificial intelligence. It explores how AI technologies are regulated, shaped, and integrated into societal, institutional, and global frameworks. The journal emphasizes responsible, equitable, and effective governance mechanisms that balance innovation with risk mitigation, ethical considerations, and public interest.
With a strong global perspective, the journal particularly welcomes contributions addressing AI governance challenges and opportunities in diverse contexts, including low- and middle-income countries and the Global South. It serves as a platform for interdisciplinary dialogue among policymakers, researchers, technologists, and international organizations working to shape the future of AI governance.
Aims
- Advancing the understanding and practice of governing artificial intelligence at national, regional, and global levels
- Promoting interdisciplinary research on AI policy, regulation, ethics, and institutional frameworks
- Analyzing the implications of AI for global governance, international relations, and power dynamics
- Bridging the gap between AI technological development and responsible governance mechanisms
- Supporting the development of equitable, transparent, and accountable AI governance models
- Examining strategies for mitigating AI risks while maximizing societal benefits across diverse contexts
- Fostering dialogue on digital sovereignty, international cooperation, and multi-stakeholder governance of AI
Scope & Research Topics
- AI governance frameworks and regulatory approaches
- Global and transnational AI regulation
- Ethical AI principles and their implementation
- AI risk assessment, safety, and accountability mechanisms
- Digital sovereignty and geopolitical dimensions of AI
- International organizations and AI governance (UN, G20, OECD, etc.)
- Corporate governance of AI and private sector responsibilities
- AI policy implementation in low- and middle-income countries
- Human rights and equity implications of AI systems
- AI in multilateral diplomacy and global public goods
- Standards, certification, and auditing of AI systems
- Multi-stakeholder governance models for AI
- Comparative AI policy and regulation across jurisdictions
- Emerging technologies governance (generative AI, autonomous systems, etc.)
Key Focus Areas
- AI governance
- Artificial intelligence regulation
- Global AI governance
- AI ethics
- AI policy
- AI risk management
- Digital sovereignty
- Responsible AI
- AI accountability
- International AI cooperation
- AI standards and certification
- Geopolitics of AI
- Multi-stakeholder AI governance
- AI in global governance
- Ethical AI frameworks
- AI regulation in LMICs
- Generative AI governance
- AI safety and alignment
- Comparative AI policy
- AI and human rights
Target Audience
- AI governance researchers and policy scholars
- Policymakers and government officials working on digital and AI policy
- International relations and global governance experts
- Technology ethicists and legal scholars
- Regulatory bodies and standard-setting organizations
- Civil society organizations focused on digital rights and AI accountability
- Corporate leaders and AI industry professionals involved in governance
- Multilateral institutions and development organizations