
Event Report: Roundtable Discussion on AI Governance and Regulatory Frameworks
This report provides a comprehensive overview of the roundtable discussion on AI Governance and Regulatory Frameworks, convened by the Coalition for Responsible Evolution of AI (CoRE-AI) on November 27, 2024. The discussion brought together policymakers, industry representatives, legal experts, and researchers to examine the challenges and opportunities in shaping AI governance and regulation.
As artificial intelligence continues to integrate into various sectors, the need for robust and adaptive governance mechanisms has become increasingly critical. This report captures key insights from the discussion, highlighting the complexities of balancing regulatory oversight with technological advancement while ensuring transparency, accountability, and fairness in AI deployment.
Key topics covered include:
- The comparative effectiveness of sector-specific vs. comprehensive AI regulatory frameworks
- Transparency, accountability, and ethical considerations in AI governance
- Addressing risks such as bias, misinformation, and lack of explainability in AI systems
- The role of multi-stakeholder engagement in shaping effective AI policies
While these discussions offer valuable perspectives, several questions remain open. What governance models will best address AI’s evolving risks without hindering innovation? How can global regulatory approaches be harmonised to ensure consistency while respecting regional policy priorities?
For a detailed analysis and further insights, download the full report.

Event Report: Roundtable Discussion on AI Governance and Regulatory Frameworks
This report provides a comprehensive overview of the roundtable discussion on AI Governance and Regulatory Frameworks, convened by the Coalition for Responsible Evolution of AI (CoRE-AI) on November 27, 2024. The discussion brought together policymakers, industry representatives, legal experts, and researchers to examine the challenges and opportunities in shaping AI governance and regulation.
As artificial intelligence continues to integrate into various sectors, the need for robust and adaptive governance mechanisms has become increasingly critical. This report captures key insights from the discussion, highlighting the complexities of balancing regulatory oversight with technological advancement while ensuring transparency, accountability, and fairness in AI deployment.
Key topics covered include:
- The comparative effectiveness of sector-specific vs. comprehensive AI regulatory frameworks
- Transparency, accountability, and ethical considerations in AI governance
- Addressing risks such as bias, misinformation, and lack of explainability in AI systems
- The role of multi-stakeholder engagement in shaping effective AI policies
While these discussions offer valuable perspectives, several questions remain open. What governance models will best address AI’s evolving risks without hindering innovation? How can global regulatory approaches be harmonised to ensure consistency while respecting regional policy priorities?
For a detailed analysis and further insights, download the full report.