California has enacted new AI safety and transparency laws, requiring businesses to provide pre-use notices and conduct risk assessments when using automated decision-making technologies. Meanwhile, Governor Newsom vetoed the ‘No Robo Bosses Act’, citing concerns over its ambiguity and potential impact on innocuous administrative tools.
AI-driven customer interactions are critical for businesses, but the safety of these interactions is often overlooked, with 4–7% of AI conversations containing toxic or biased responses. Organizations must prioritize real-time monitoring to detect and prevent harmful interactions, ensuring trust and safety in every AI engagement.
This blog examines 18 AI-related laws that California enacted in 2024, highlighting several bills that have moved through the California legislature in 2025. It also chronicles California’s history of regulating AI and other emerging technologies.
Ekaterina Zaharieva, the EU’s first startup commissioner, emphasizes the importance of a unified regulatory framework for AI, asserting that it will foster a European spirit of innovation. She also highlights the launch of a €5bn Scale Up fund aimed at helping European startups scale globally without leaving the continent.
The European Commission is reportedly moderating its AI laws under pressure from U.S. tech companies, although it denies any influence from the Trump administration. Proposed changes aim to simplify the EU’s digital legislation, including the AI Act, while maintaining its sovereign right to legislate independently.
The Colorado Artificial Intelligence Act, effective February 1, 2026, mandates that employers document their AI systems and notify individuals when AI influences significant decisions. Businesses are encouraged to prepare early by mapping their AI usage, revisiting vendor agreements, and conducting risk assessments to ensure compliance with the new regulations.
AI Governance and Responsible AI are often conflated, but they represent fundamentally different concepts: Responsible AI focuses on philosophical ideals, while AI Governance emphasizes enforceable structures. Checkpoint-Based Governance (CBG) addresses the gap between intention and implementation by ensuring that every significant AI decision receives documented human approval before execution.
As Artificial Intelligence rapidly transforms industries and economies, the success of its integration relies on robust governance and resilient data strategies. Organizations adopting AI are recognizing these elements as foundational for responsible innovation and risk mitigation in an AI-driven future.
The European Commission is considering delaying parts of its Artificial Intelligence Act due to pressure from US tech companies and the American government. Proposed changes may include a one-year grace period for companies using high-risk AI to adapt before penalties apply.
The EU AI Act represents a significant regulatory framework aimed at ensuring the safety and accountability of AI systems. It introduces a risk-based approach, defining requirements for transparency, data governance, and oversight for generative AI developers and other stakeholders in the AI supply chain.