Sec. 3. Workforce preparation
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/bill/116/hres/1250/eh/section-3A research copy — for the controlling text, always check the official state or federal source. Not legal advice.
The House of Representatives finds the following: Artificial intelligence and automation will present significant challenges to workers in affected industries due to the automating of some routine and repetitive tasks, but will also create additional employment opportunities. Closing the artificial intelligence talent gap in the short and medium-term will require a targeted approach to identifying and filling roles that require the skills to build and work with artificial intelligence systems.
The United States should take a leadership role in the artificial intelligence-driven economy by filling the artificial intelligence talent gap and preparing United States workers for the jobs of the future, including by prioritizing inclusivity and equal opportunity. Departments and agencies of the Federal Government are increasingly using data to administer benefits, assess outcomes, and fulfill other mission-critical activities. Effectively creating, managing, and implementing artificial intelligence related research and development grants will require technical expertise.
Departments and agencies of the Federal Government will need to be able to recruit employees with technical expertise. Lifelong learning and skill acquisition can increase flexibility with respect to career opportunities. The United States will need to be able to attract the best artificial intelligence researchers and computer scientists from around the world to work in the United States. It is the sense of the House of Representatives that the national competitiveness of the United States in artificial intelligence would benefit from— increased funding for Federal programs that support science, technology, engineering, mathematics, and computer science education; grant programs that continue funding the integration of ethics courses and modules into science, engineering, and computer science curricula; new education programs of study related to artificial intelligence that incorporate industry-recognized credentials, including certifications and certificates, embedded within secondary and postsecondary degree programs; and continued support for teacher preparation programs that increase the number of teachers with the ability to teach science, technology, engineering, mathematics, and computer science education.
It is the sense of the House of Representatives that— the inclusion of students from historically under-represented groups in existing technology education programs would benefit a diverse artificial intelligence workforce; and recruitment and retention policies with respect to under-represented communities and marginalized groups in the Federal workforce should be reviewed for the purpose of determining if such policies require modification for technology workers. It is the sense of the House of Representatives that the Federal Government should assess the effectiveness of current public workforce development programs with respect to the additional support such programs will need to effectively address job disruptions and job creations that result from the increased use of artificial intelligence.
It is the sense of the House of Representatives that the Federal Government should support the adoption of work-based learning and on-the-job training programs to prepare the United States workforce for an artificial intelligence-influenced economy, including by— undertaking studies to determine best practices to implement such programs; and ensuring that there is sufficient Federal funding to support high-quality programs that coordinate with Federal workforce development programs.
It is the sense of the House of Representatives that the Federal Government should— allow technical experts to use their skills to assist multiple departments and agencies of the Federal Government, such as the United States Digital Service; focus on the retention of non-partisan experts within the Federal Government who are working to modernize Federal information technology; include in the criteria for recruiting for artificial intelligence jobs the consideration of a multi-disciplinary set of skills, including an understanding of ethical practices with respect to the design and use of artificial intelligence systems, privacy, information security, law, and civil liberties; review hiring practices for employment in the Federal Government for the purpose of ensuring that such practices do not disqualify individuals with a less traditional background, including due to a lack of undergraduate or graduate degree attainment, who have skills that will benefit work in artificial intelligence systems management and research and development; and conduct studies with respect to best practices for skills-based hiring.