This bill directs the National Science Foundation to create a network of cloud laboratories that use automated robotics and advanced instrumentation to conduct biological experiments and generate data for artificial intelligence research. The legislation establishes a three-phase program where Phase I involves planning and assessment, Phase II funds at least two new laboratories, and Phase III funds at least three additional laboratories over a 12-year period. Key provisions include creating an advisory board to guide development, setting up data sharing protocols for authorized researchers, and requiring cybersecurity and biosecurity safeguards. The program aims to connect public and private research facilities while providing access to experimental capabilities for scientists across academia, industry, and government.
This bill, titled the AI Guardrails Act of 2026, establishes specific restrictions on how the Department of Defense can use artificial intelligence. It prohibits the military from using AI to launch or detonate nuclear weapons, to monitor or target individuals within the United States without a legal basis, and to employ lethal force through autonomous weapon systems without human oversight. The legislation also creates a waiver process that allows the Secretary of Defense to temporarily permit certain autonomous weapon uses under strict conditions, requiring written certification to Congress and detailed notifications about the system's safeguards and testing results.
The NSF AI Education Act of 2026 directs the National Science Foundation to award scholarships and fellowships to undergraduate and graduate students studying artificial intelligence, quantum computing, and related fields. The bill establishes new programs to support AI education at community colleges, vocational schools, and historically underserved institutions, including priority funding for rural, Tribal, and minority-serving institutions. It also authorizes grants for AI research in agriculture and advanced manufacturing, requires the development of guidance for AI use in K-12 education, and mandates the creation of workforce frameworks for AI and other emerging technologies. The legislation includes provisions to restrict funding to institutions with certain civil rights violations and establishes requirements for oversight of public-private partnerships and foreign contributions.
This bill, known as the Full AI Stack Export Promotion Act, aims to increase the global export of U.S.-developed artificial intelligence systems, computing hardware, and related standards. It directs the Secretary of Commerce to establish a program that helps industry groups export U.S. AI technology to allied nations while working with the State Department to remove foreign barriers to these exports. The legislation also requires government agencies to develop security measures to prevent unauthorized access by foreign adversaries and to track the success of these export efforts through regular reports to Congress.
This bill, known as the AI Fraud Accountability Act, makes it a federal crime to use artificial intelligence or other technology to create realistic digital impersonations of real or fictional people for the purpose of defrauding others of money, documents, or other valuable items. The law applies to communications across state lines and foreign borders, and it allows for criminal penalties including fines and up to three years in prison, along with the forfeiture of assets used to commit the fraud. In addition to criminal provisions, the bill gives the Federal Trade Commission authority to enforce these rules as unfair or deceptive business practices and requires the creation of a working group to develop technical best practices for detecting and preventing digital impersonation fraud. The legislation also establishes mechanisms for international cooperation with foreign law enforcement agencies to combat cross-border fraud and includes a safeguard protecting parody, satire, and journalism from being classified as illegal impersonation.
This bill directs the National Institute of Standards and Technology to create standards and guidelines for making federal government data easier for artificial intelligence systems to use. It requires federal agencies to make their open data available in machine-readable formats, ensure data quality and documentation, and address privacy and intellectual property concerns. The bill mandates a public comment process and requires the President to issue requirements for agencies to adopt these standards within one year of enactment. Additionally, it specifically requires the National Oceanic and Atmospheric Administration to prepare its weather and climate data for AI and machine learning applications in forecasting.
This bill, known as the HBCU AI Research Leadership Act, directs the Department of Energy to set aside at least 10% of its funding for national artificial intelligence research institutes specifically for historically Black colleges and universities. The legislation amends the National Artificial Intelligence Initiative Act of 2020 to ensure these institutions can receive financial assistance to establish and support AI research programs, either individually or through partnerships with other educational institutions. By adding a formal definition for historically Black colleges and universities, the bill clarifies which schools qualify for this designated funding allocation. The measure aims to increase participation and capacity in AI research within HBCUs without changing the overall funding structure of the national AI initiative.
This bill prohibits AI chatbots from misleading users into believing they are licensed professionals in fields like law, healthcare, finance, accounting, or insurance. It requires companies deploying AI chatbots to avoid generating content that falsely implies the AI has professional credentials or human verification from a licensed practitioner. The Federal Trade Commission would enforce these rules as unfair or deceptive practices, while state attorneys general could also sue for violations and seek damages. Individuals harmed by such violations could file lawsuits to recover actual losses or up to $5,000 per violation, with higher penalties for willful misconduct.
This bill requires the Department of Defense to promote competition when purchasing artificial intelligence, cloud computing, and data infrastructure services by mandating competitive award processes and prioritizing multi-cloud technology. It defines covered providers as companies with at least $50 million in DoD contracts over five years and restricts how these vendors can use government-provided data, prohibiting unauthorized use for training commercial products. The legislation also establishes annual reporting requirements to Congress on market competition and innovation in the AI sector, including details on any exemptions granted for national security reasons.
This bill directs the National Institute of Standards and Technology to create definitions, standards, and frameworks to ensure biological datasets from federally funded research are compatible with artificial intelligence models. It requires the NIST Director to establish clear criteria for what makes data "AI-ready," including requirements for data formatting and generation methods, while consulting with federal agencies and the private sector. The legislation includes provisions for public feedback, an advisory group to guide implementation, and regular testing to ensure the new standards do not create undue burdens on researchers.
