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Showing posts with the label CAISI

The Great American AI Act: What It Means — and Doesn’t Mean — for Companies Using AI

On June 4, 2026, Representatives Jay Obernolte and Lori Trahan released a discussion draft of the Great American Artificial Intelligence Act (GAAIA). The proposal has generated significant attention, but many organizations may be overestimating its practical significance for their day-to-day operations. The bill is directed primarily at developers of “frontier” AI models, so for most companies using AI models in their daily operations, these requirements will not apply. Nonetheless, the bill has sparked conversation—it incorporates multiple bipartisan bills on AI, its drafters wrote an op-ed calling on the U.S. to create a national framework covering AI, and the U.S. House Democratic Commission on AI and the Innovation Economy released a statement that the draft “does not meet the enormity of the moment.” Key Takeaways The bill is primarily aimed at the biggest AI developers with more than $500 million in revenue that are building cutting-edge AI models rather than most typical busine...

Managing Agentic AI in Real‑World Use: From Outputs to Actions

Agentic artificial intelligence (AI) is the next frontier for companies and organizations that are using AI. Agentic AI can select and carry out actions on a user’s behalf based on instructions, context, and the permissions it has been configured to use . As organizations integrate these systems and capabilities, they face an additional layer of legal risks and governance concerns. As companies begin to use agentic AI, they should consider key risk management practices to ensure responsible adoption . This includes aligning with emerging best practices and standards being studied and promoted by the National Institute for Standards and Technology (NIST) around agentic AI, including the Center for AI Standards and Innovation (CAISI) AI Agent Standards Initiative and the National Cybersecurity Center of Excellence Project addressing Software and AI Agency Identify and Authorization . For example, organizations utilizing agentic AI should look more closely at how the authority of AI age...