Lumen Technologies has received ISO 42001 certification for its Artificial Intelligence Management System (AIMS), confirming the effectiveness of its AI governance framework. This certification ensures that AI is developed and managed with strong controls regarding ethics, transparency, and risk management.
Join us for a webinar led by Emma Bracegirdle, founder of The Saltways, exploring the ethical use of AI-generated imagery in the charity sector. This session offers practical advice and best practices to ensure responsible AI image use.
Connecticut lawmakers are debating how to regulate artificial intelligence amid privacy and consumer protection concerns. With the 2026 session approaching, there is growing pressure to define clear state AI policies that balance innovation and oversight.
On January 20, 2026, the European Data Protection Board and the European Data Protection Supervisor adopted Joint Opinion 1/2026 on the European Commission’s proposal to amend the EU AI Act. The authorities emphasize the need for targeted simplifications while ensuring that fundamental rights, especially data protection, are protected.
The competition among large language models (LLMs) has evolved into a contest centered on cost, trust, and control over the emerging AI ecosystem. Leading players are building integrated platforms designed for long-term user engagement and subscription revenue rather than just attracting attention.
Indonesia, Malaysia, and the Philippines’ bans on xAI’s Grok mark a significant regulatory shift in Southeast Asia, showcasing early proactive AI safety measures. This development highlights the region’s opportunity to craft context-specific AI governance norms while underscoring the risks of fragmented regulation without ASEAN-wide coordination.
This article examines the implications of classifying autonomous vehicles as “high-risk AI” under South Korea’s new AI regulations. It argues that such labeling could impede national competitiveness and suggests considering alternative regulatory strategies to encourage innovation while maintaining safety.
Singapore has introduced a new Model AI Governance Framework for Agentic AI to address risks associated with AI deployment, emphasizing human oversight to ensure responsible development and accountability.
As AI systems increasingly influence critical decisions within organizations, clear ownership and leadership are essential to ensure accountability and effective AI governance throughout the AI lifecycle.
This article highlights the critical need for cryptographic agility in AI infrastructure amidst emerging quantum computing threats. It underscores proactive governance, post-quantum encryption, and context-aware access management to safeguard AI models.