Category: AI Regulation

AI Compliance Across Borders: Strategies for Success

The AI Governance & Strategy Summit will address the challenges organizations face in navigating the evolving landscape of AI regulation, focusing on major frameworks like the EU AI Act and the U.S. AI Bill of Rights. Experts will provide strategies for achieving compliance and managing the legal complexities of AI across different jurisdictions.

Read More »

AI Regulation: Diverging Paths in Colorado and Utah

In recent developments, Colorado’s legislature rejected amendments to its AI Act, while Utah enacted amendments that provide guidelines for mental health chatbots. These contrasting approaches highlight the varying directions states are taking in regulating AI technology and its implications for consumer protection.

Read More »

Balancing AI Innovation with Public Safety

Congressman Ted Lieu is committed to balancing AI innovation with safety, advocating for a regulatory framework that fosters technological advancement while ensuring public safety. He emphasizes the need for human oversight in AI applications, particularly in high-stakes areas like national security and healthcare.

Read More »

EU’s AI Oversight: A Race Against Time

With less than three months until the deadline, many EU member states are still undecided on which authorities will oversee compliance with the AI Act. Delays in appointing these regulators could lead to uncertainty for businesses required to comply with the new rules.

Read More »

Congress Must Act to Streamline AI Regulations

States are rapidly enacting individual laws to regulate artificial intelligence, resulting in a fragmented legal landscape that could hinder innovation and complicate compliance for companies. Congress is urged to establish a consistent national framework to preempt these state laws and maintain U.S. leadership in AI.

Read More »

Reforming AI Regulation: Key Changes to Colorado’s AI Act

Colorado is proposing significant amendments to its AI Act to better focus on innovation and reduce compliance burdens for businesses. Key changes include revised definitions of algorithmic discrimination, broadened exemptions for high-risk AI systems used in recruitment, and new obligations for in-scope deployers.

Read More »

AI Governance in a Shifting Regulatory Landscape

Despite political shifts, AI governance remains crucial as businesses increasingly rely on AI technologies. New regulations are emerging while some existing laws are being reconsidered, emphasizing the need for compliance and responsible AI use.

Read More »