Quebec has released its AI policy for universities and Cégeps, outlining guidelines for the responsible use of generative AI in higher education. The policy aims to address ethical considerations and promote discussions on AI governance while providing practical recommendations for implementation.
In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy. Effective AI governance not only ensures accountability and adherence to ethical principles but also accelerates innovation and productivity within organizations.
The upcoming governance framework on artificial intelligence in India may introduce a “technical secretariat” to coordinate AI policies across government departments, moving away from the previous idea of establishing a regulatory body. This secretariat, to be housed within the Ministry of Electronics and Information Technology, will focus on developing metrics and frameworks while collaborating with the industry on AI-related issues.
ASEAN’s approach to AI governance is characterized by a consensus-driven, voluntary, and principles-based framework that allows member states to navigate their unique challenges and capacities. However, this strategy risks fragmentation as countries adopt diverse paths influenced by external models, raising questions about the region’s ability to consolidate into a cohesive governance model.
The article discusses the urgent need for a cohesive framework for AI governance to address the fragmented and ineffective approaches currently in place. It proposes a risk-informed governance model that focuses on assessing and managing AI risks, enhancing accountability, and ensuring global harmonization to foster responsible AI implementation.
AI is advancing more rapidly than regulations, presenting both risks and opportunities for compliance teams. Organizations must proactively adopt frameworks to manage AI risks and embrace a continuous, adaptive compliance process to keep pace with evolving threats and regulations.
Predictive AI Governance represents a proactive approach to managing the risks associated with AI systems, focusing on anticipating and mitigating issues before they arise. By integrating capabilities such as regulatory simulations and predictive risk analytics, organizations can better navigate the evolving landscape of AI governance and maintain public trust.
AI governance involves establishing rules and policies to ensure responsible AI use, preventing potential risks associated with AI deployment. The EU AI Act categorizes AI systems by risk levels and outlines necessary compliance measures for companies using high-risk AI applications.
Singapore is leveraging Agentic AI to enhance government services, aiming for faster and more responsive public interactions while maintaining public trust. The initiative, highlighted at the ServiceNow Public Sector Forum, addresses rising citizen expectations by improving workflows and reducing bureaucratic complexities.
The AI sector is facing significant challenges as the competition for top talent clashes with corporate governance complexities, threatening the stability of AI startups. Investors must recognize that governance is now a core determinant of valuation stability amidst this evolving landscape.