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.
This bill directs the Department of Commerce to conduct a study on the challenges faced by small U.S. artificial intelligence businesses. The study will examine issues such as access to funding, tax credits, talent recruitment, and the impact of federal policies on these companies. It defines small AI businesses as independently owned U.S. companies with 250 or fewer employees that primarily create or develop AI products or services. The bill requires the Commerce Secretary to consult with relevant agencies and may involve outside experts to gather data and provide recommendations for addressing identified challenges.
This bill establishes the AI Research and Oversight in Courts Task Force to study how artificial intelligence speech-to-text and automatic speech recognition technologies are used in federal and state courts across the United States. The 15-member task force, composed of government officials and independent experts, will assess issues related to accuracy, privacy, civil liberties, and costs associated with these technologies in the judicial system. Within 18 months of enactment, the group must submit a final report to Congress with findings and recommendations on whether these technologies affect court record integrity, alter speech from individuals with accents or speech impediments, and pose cybersecurity risks. The task force will also examine whether court records should include watermarks or metadata to indicate AI involvement and provide guidance on vendor selection for these technologies.
This bill, known as the AI-Ready Networks Act, requires the Assistant Secretary of Commerce for Communications and Information to produce a comprehensive report on how artificial intelligence is being integrated into the United States commercial telecommunications infrastructure. The report must be completed within 18 months of the bill's enactment and will include assessments of international standards, industry use cases, workforce needs, security measures, and recommendations for updating existing telecommunications laws. Before finalizing the report, the Assistant Secretary will publish a draft for public comment and consult with federal agencies, state and local governments, telecommunications companies, and academic organizations to ensure diverse input. The legislation aims to create a clearer understanding of AI's role in telecommunications networks and provide guidance for safe and effective implementation across the industry.
This bill, titled the Land Grant Research Prioritization Act of 2026, amends existing federal agricultural law to establish specific research and extension grant priorities for land-grant universities. It directs funding toward four main areas: advanced mechanized harvesting technologies, particularly for specialty crops; artificial intelligence applications in agriculture to improve specialty crop production; methods for managing and eradicating invasive plant and animal species; and aquaculture techniques for valuable aquatic species. The legislation allows the Secretary of Agriculture to prioritize grants in these areas when awarding funding to land-grant institutions for research and extension projects.
