The EU AI Act sets a global standard for the responsible use of artificial intelligence in the workplace, establishing new accountability requirements. As AI transforms work, organizations worldwide must understand the Act’s provisions to ensure compliance and foster trust.
As 2026 begins, AI governance turns to targeted oversight prioritizing safety and transparency. Industry leaders call for practical regulations that promote human well-being while encouraging innovation.
Industry leaders have urged Iowa lawmakers to carefully balance innovation with public safety as multiple AI regulatory bills advance, emphasizing the need for informed policymaking to support future growth.
Mexico has introduced a new Declaration of Ethics and Best Practices for Artificial Intelligence to guide public policy and protect human rights. The declaration emphasizes promoting social welfare, inclusion, accountability, and technological sovereignty in AI development across the country.
This article explores the potential risks of AI manipulation, distinguishing between persuasion and manipulation, identifying types of manipulative AI, and discussing ways to evaluate and mitigate these risks while promoting AI literacy.
UN Secretary-General Antonio Guterres has announced the formation of a new Independent International Scientific Panel on AI, consisting of 40 experts from diverse fields to promote evidence-based global AI governance. The panel will address the AI knowledge gap and evaluate its impacts on economies and societies over an initial three-year term.
The “Buyer’s Guide to AI Usage Control” addresses the growing need for enterprises to effectively manage AI interactions amid rapid AI tool adoption. It highlights the shift from traditional security measures to a governance framework focused on real-time control and contextual awareness of AI usage.
Researchers highlight the inadequacies of current governance frameworks for NeuroAI and neuromorphic systems, emphasizing the need for adaptive regulatory approaches tailored to these technologies’ unique characteristics. As NeuroAI advances in energy efficiency and real-time processing, careful management is crucial for safe and responsible implementation.
Enterprise security leaders face the challenge of managing permission sprawl amid evolving AI regulations and data privacy laws. Proactive governance frameworks are essential for effective compliance and enabling innovation in complex hybrid and multi-cloud environments.
AI governance is becoming a critical liability risk for directors and officers as regulatory scrutiny intensifies globally. Weak oversight can lead to financial losses, legal consequences, and reputational damage, underscoring the need for robust governance frameworks to manage AI-related challenges.
