Dr. Natalie Callis of Quintessential Consulting LLC highlights that AI governance failures stem from human readiness, not technology. She advocates for frameworks that build leaders’ internal coherence to ensure responsible AI oversight.
As artificial intelligence systems become central to critical operations, red teaming has emerged as a cornerstone practice for safeguarding AI against unique vulnerabilities. Organizations must adopt a holistic security approach integrating transparency and continuous testing to effectively mitigate risks associated with agentic AI systems.
China’s draft regulations for emotional AI services mandate breaks after two hours of use and immediate human intervention when suicide is detected, addressing risks revealed by recent US tragedies. These measures contrast with the US focus on disclosure rather than interaction design that could cause harm and dependency.
South Korea’s new “AI Basic Act,” touted as the world’s most comprehensive AI regulation, takes effect today, mandating human oversight in high-impact areas like healthcare. The law also requires clear labeling for products and services utilizing generative AI, positioning Seoul as a global AI leader ahead of the EU’s phased AI Act implementation.
Building an effective cross-functional AI compliance team is essential as AI adoption expands across all organizational departments. A successful approach involves integrating leaders from business units, legal, compliance, and cybersecurity teams, focusing on strategic use cases and ongoing governance monitoring.
The Department of Transportation plans to use AI to draft transportation regulations, prioritizing speed over accuracy, despite staff concerns about potential errors and the complexity of regulatory work. Critics warn that relying on AI could lead to significant mistakes that may jeopardize public safety.
Applications are now open for the fully funded short course on the Economics of Artificial Intelligence in Africa, running from March 2nd to April 9th, 2026. This course is designed for public officials and professionals to equip them with skills to analyze and evaluate AI’s impact on African economies.
Michigan’s Department of Insurance and Financial Services issued a bulletin on January 14 reminding financial service providers to ensure AI systems comply with applicable laws. The advisory highlights risks such as inaccuracies and biases, and calls for a written AI systems program for responsible use.
The FDA and EMA have issued a joint statement outlining 10 guiding principles for the responsible use of artificial intelligence in drug development to ensure patient safety and regulatory excellence.
Norm Ai is leveraging its technology to improve due diligence questionnaire (DDQ) and request for proposal (RFP) workflows for major financial institutions, with Blackstone as a key reference client. The firm expects Norm Ai’s platform to assist with up to 20,000 DDQs over the next three years, streamlining compliance processes and saving significant time across teams.
