EU institutions failed to reach an agreement on AI Act amendments, highlighting the limits of the Commission’s digital simplification agenda. The stalled AI omnibus risks undermining regulatory clarity and EU credibility without easing compliance burdens.
Australia’s financial regulator warned that AI agent governance and assurance practices in banks and superannuation trustees are poorly governed, highlighting gaps in risk management, model monitoring, and human oversight. It urged entities to develop stronger AI strategies, control frameworks, and exit plans to mitigate operational and cybersecurity risks.
David Peloquin discussed how agentic AI differs from earlier AI forms and why this matters legally in health care, covering use cases, federal preemption, enforcement risks, and response strategies. He also outlined the core elements of an adaptable AI governance framework for health‑care organizations.
Credo AI highlights the surge in AI deployment within healthcare and the need for enforceable, auditable governance, announcing its partnership with the Coalition for Health AI (CHAI) to operationalize CHAI’s framework. The platform aligns with regulations such as HIPAA, ONC HT-1, ISO 42001, and The Joint Commission, offering a unified view of overlapping compliance obligations for AI models, vendors, and use cases.
Trust3 AI and Dell Technologies have partnered to deliver a secure, governed AI‑ready data lakehouse infrastructure that integrates Trust3 AI’s unified governance platform directly into Dell’s storage solutions. This joint solution enables enterprises to scale analytics and autonomous AI workloads across hybrid and on‑premises environments while ensuring compliance with regulations such as the EU AI Act, GDPR, and HIPAA.
The article examines the tension between governments and frontier AI companies like Anthropic, highlighting how supply-chain risk designations and security concerns clash with the need for advanced AI capabilities. It stresses that while strategic competition with China drives urgency, democratic values must guide how AI is deployed for surveillance, weapons, and critical infrastructure.
The podcast explores the White House’s new AI Framework, highlighting its shift toward federal preemption of state AI laws and its focus on innovation-friendly policies. Experts discuss the framework’s implications for regulation, competition, and future AI governance.
The 2026 AI in Manufacturing & Supply Chain Series helps industry leaders identify and manage legal risks arising from AI-driven transformations in manufacturing and supply chains. It offers insights on liability, compliance, data governance, cybersecurity, and contractual strategies to safely leverage AI innovations.
AI Counsel Code host Maggie Welsh discusses with Michelle Molner how artificial intelligence is transforming data privacy, cybersecurity risk, and regulatory enforcement, highlighting the clash between AI’s need for large datasets and traditional privacy principles such as data minimization, consent, and purpose limitation. The conversation examines the challenges companies face in balancing AI innovation with compliance and protecting user data.
AI assurance is essential for building trustworthy and resilient AI systems by ensuring reliability, transparency, and regulatory compliance, while addressing challenges such as bias, explainability, and evolving standards. Implementing robust governance and risk management enables organizations to scale AI responsibly and maintain long-term competitiveness.
