The National Institute of Standards and Technology (NIST) maintains its focus on ensuring that identity systems reliant on artificial intelligence (AI) and machine learning (ML) are trained and assessed accurately, a position made clear by a NIST official’s recent statement.
The US Agency for International Development (USAID) seeks to understand artificial intelligence’s (AI) potential to both propel and undermine development progress, exposing a contrasting dynamic in the technology’s application.
The General Services Administration (GSA) is soliciting public comments on a newly drafted document aimed at facilitating the Federal Risk and Authorization Management Program (FedRAMP) to prioritize emerging technologies, particularly cloud service offerings (CSOs), in the authorization procedure. The original article can be found here .
The Strait of Hormuz, an essential maritime passage that links the Persian Gulf to the Gulf of Oman, is known for its persistently poor visibility, creating significant challenges for navigation.
The Department of Defense is proactively investigating the risks associated with generative artificial intelligence (AI) capabilities, specifically seeking to identify potential biases in large language models, presently focusing on open-source chatbots.
The United States Agency for International Development (USAID), the Department of State, and the National Institute of Standards and Technology are jointly encouraging the global community of AI experts to help guide them as they shape a formidable strategy for AI’s role in global development.
Following reporting by FedScoop, Amazon stated that the Department of Justice’s (DOJ) disclosure about the FBI beginning to use its Rekognition tool does not signify a violation of its moratorium on facial recognition.
The Federal Trade Commission’s 2024 inquiry into partnerships among major cloud providers and generative-AI developers was often framed as a question of investment concentration: would multibillion-dollar relationships among Microsoft and OpenAI, Amazon and Anthropic, and Google and Anthropic distort competition?
The deeper question is architectural. Frontier AI developers need capital, specialized compute, storage, networking, distribution, engineering support, and access to enterprise customers. Cloud providers possess those complements at scale. Partnerships can accelerate innovation by joining them. They can also create dependencies that influence which models reach users, which clouds capture workloads, which startups can compete, and who exercises practical control over supposedly independent firms.
Competition cannot be inferred from the number of logos. It must be analyzed through the control points of the AI stack.