This bill updates federal quality standards for mammography facilities to allow artificial intelligence systems to perform duties currently reserved for physicians. Specifically, it permits AI to interpret mammograms and removes the requirement for a physician to sign off on the results. The changes directly affect healthcare providers and facilities that use or plan to use AI technology in breast cancer screening. By amending the Public Health Service Act, the legislation modernizes regulations to accommodate advancements in machine learning while maintaining oversight of diagnostic processes.
The NO FAKES Act of 2026 establishes a new property right for individuals to control the creation and use of their digital voice and visual likeness replicas, extending protection to both living people and their heirs for up to 70 years after death. The bill requires companies and platforms that distribute these digital replicas or sell tools to create them to obtain explicit authorization from the right holder, while also setting up a notification system for online services to remove unauthorized content. Additionally, the law preempts existing state laws regarding digital likeness rights and includes specific penalties and safe harbor protections for platforms that comply with the new requirements.
The CHATBOT Act establishes new federal rules requiring companies that provide open-ended artificial intelligence chatbots to implement strict privacy protections and parental controls for users under the age of 18. Under this legislation, platforms must create "family accounts" for children under 13 and obtain verifiable parental consent before allowing teens to create their own accounts, while also mandating the deletion of personal data if these requirements are not met. The bill further requires that default settings on these accounts prioritize child safety by limiting screen time, disabling financial transactions, and preventing the chatbot from generating unsolicited outputs. Companies are prohibited from using the personal data of children and teens for targeted advertising, and the Federal Trade Commission is authorized to enforce these provisions as unfair or deceptive practices. Additionally, the Act mandates a study by the National Science Foundation on the social impacts of AI chatbots on young people and requires a report from the Government Accountability Office to evaluate the law's effectiveness.
The LIFT AI Act authorizes the National Science Foundation to provide competitive grants to universities and nonprofits for developing AI literacy programs in K-12 schools. These funds are intended to create educational curricula, train teachers on the responsible use of artificial intelligence, and build tools to assess student proficiency in AI concepts. The legislation defines AI literacy as the ability to use, interpret, and mitigate risks associated with AI technology in an age-appropriate manner. By supporting research and professional development, the bill aims to prepare the next generation of students to effectively navigate and innovate within an AI-driven world.
The Workforce Data Enhancement Act creates a new grant program to help states improve their workforce data systems by integrating information from education, labor markets, and other sources. Eligible entities, such as state agencies or groups of states, can apply for funding to build or upgrade statewide longitudinal data systems that track individual employment and earnings outcomes over time. The bill prioritizes grants for multi-state collaborations and projects that enhance data accuracy, privacy, and the ability to identify emerging job skills, including those related to artificial intelligence. Funds awarded for up to three years must be used to supplement existing state efforts rather than replace them, and recipients are required to report on how the data improvements help workers and employers make better decisions.
This bill directs the National Institute of Standards and Technology to create task forces that develop technical standards for labeling content created by artificial intelligence. These groups will work with technology companies, social media platforms, and privacy experts to establish methods for watermarking images and videos, as well as tagging text, to help users distinguish AI-generated material from human-made content. The legislation requires these task forces to include representatives from various sectors, including developers, media organizations, and labor groups, and mandates regular reporting to Congress on their progress. Additionally, the bill emphasizes the need to protect user privacy when implementing these new tracking and labeling systems.
The Intelligence Authorization Act for Fiscal Year 2027 authorizes funding for U.S. intelligence activities and establishes new rules for how intelligence agencies operate. Key provisions include creating a new task force to monitor military threats from China regarding Taiwan, strengthening intelligence sharing with allies in the Indo-Pacific and Israel, and setting strict guidelines on the use of artificial intelligence, including prohibitions on certain models and requirements for labeling AI outputs. The bill also expands restrictions on purchasing equipment from specific foreign nations, mandates better protection for trade secrets, and outlines procedures for handling sensitive information about U.S. persons.
The K-12 AI Literacy and Readiness Act of 2026 amends the Elementary and Secondary Education Act to allow federal funding for artificial intelligence education in schools. This legislation directly affects states, local school districts, and educational staff by permitting the use of funds to teach students how to use AI safely and responsibly. Additionally, the bill authorizes money for professional development programs that equip teachers, librarians, and administrators with the skills to teach and utilize AI effectively. By adding these specific allowable uses to existing federal education grants, the act provides a clear pathway for integrating AI literacy into the K-12 curriculum.
This bill, known as the Protecting Consumers from Deceptive AI Act, aims to combat the spread of misleading deepfakes by requiring clear labeling for content created or significantly altered by artificial intelligence. It mandates that developers of AI applications embed machine-readable watermarks and metadata into audio and visual files to identify their AI origins, while also requiring online platforms to display this information to users. To support these efforts, the legislation directs the National Institute of Standards and Technology to form task forces that will develop technical standards for content verification and establish guidelines for privacy and interoperability. Enforcement of these labeling requirements will be handled by the Federal Trade Commission, which can penalize violations as unfair or deceptive practices and may approve self-regulatory guidelines to help companies achieve compliance.
The Bank Fraud Technology Advancement Act of 2026 directs federal banking agencies to conduct a comprehensive study on how banks and credit unions use advanced fraud detection tools like artificial intelligence and machine learning. This study will examine the effectiveness of these technologies, identify barriers for smaller community financial institutions, and analyze issues related to data sharing and regulatory clarity. Within 18 months of enactment, the agencies must submit a public report with their findings and recommendations to Congress on how to improve fraud prevention. Following the study, the bill allows the agencies to launch a voluntary pilot program designed to help smaller banks access shared fraud detection tools and technical support.
