A bipartisan group of U.S. lawmakers has introduced the “No Adversarial AI Act,” aiming to ban the use of artificial intelligence tools from countries like China, Russia, Iran, and North Korea in federal agencies. This legislation reflects growing concerns over AI technologies that may compromise national security, particularly in light of scrutiny surrounding the Chinese AI firm DeepSeek.
Riskonnect has launched its new AI Governance solution, enabling organizations to manage the risks and compliance obligations of AI technologies while fostering innovation. The solution integrates with Riskonnect’s broader risk management suite, helping customers apply a structured methodology for responsible and ethical AI use.
The article discusses the ongoing debate over AI regulation, emphasizing the recent passage of legislation that could impact state-level control over AI. It highlights the tension between innovation and regulation, with arguments from experts indicating that effective oversight is necessary to protect public interests while fostering technological advancement.
In today’s competitive landscape, deploying Large Language Models (LLMs) requires a robust LLMOps framework to ensure reliability and compliance. Python’s rich ecosystem serves as a linchpin, integrating prototyping, monitoring, and governance into a seamless production workflow.
Pillar Security has developed an AI security framework called the Secure AI Lifecycle Framework (SAIL), aimed at enhancing the industry’s approach to AI security through strategy and governance. The framework outlines over 70 risks and provides mitigations to support secure AI adoption across various sectors.
The U.S. Senate recently voted to eliminate a provision that would have prevented states from regulating AI for the next decade, leading to a surge in state-level legislative action on AI-related issues. As Congress struggles to create a unified federal framework, states are stepping in to establish their own regulations, emphasizing transparency and accountability in AI governance.
The U.S. Senate recently voted to eliminate a provision that would have prevented states from regulating AI for the next decade, leading to a surge in state-level legislative action on AI-related issues. As Congress struggles to create a unified federal framework, states are stepping in to establish their own regulations, emphasizing transparency and accountability in AI governance.
Regional policymakers and industry leaders convened at the 2025 PECC Conference in Singapore to discuss the importance of responsible AI governance and the need for collective action in harnessing AI’s potential. Denise Wong from IMDA emphasized that while AI can generate significant value, it also poses risks that must be managed to build public trust and ensure equitable outcomes.
The new EU “safety and security” standards require tech companies to moderate content on general-purpose AI models to prevent “hate” and “discrimination.” This regulation is anticipated to enhance censorship across major tech platforms, potentially undermining democratic processes and fundamental rights.
The U.S. Senate recently voted to eliminate a provision that would have prevented states from regulating AI for the next decade, leading to a surge in state-level legislative action on AI-related issues. As Congress struggles to create a unified federal framework, states are stepping in to establish their own regulations, emphasizing transparency and accountability in AI governance.