; (B) create programs for the purpose of exploring ways to increase workforce diversity and the retention of diverse talent at all levels of an organization; and (C) review recruitment and retention policies with respect to under-represented communities and marginalized groups for the purpose of determining if such policies require modification for the technology sector. (3) Artificial intelligence training (A) In general It is the sense of Congress that the Federal Government should assess the effectiveness of current job training and safety net programs with respect to how adept such programs are likely to be in addressing job disruptions and job creations that result from the increased use of artificial intelligence. (B) Work-based training programs It is the sense of Congress that the Federal Government should consider the importance of work-based training programs, including Last Mile Training programs, in preparing the United States workforce for an artificial intelligence-driven economy, including by— (i) undertaking studies to determine the best methods to promote such programs and ensure such programs are accredited; (ii) ensuring that such programs have the opportunity to receive Federal funding under relevant Federal programs; and (iii) creating a pilot program that includes job training programs as programs for which individuals may be eligible to receive a Federal Pell Grant. (4) Hiring practices It is the sense of Congress that the Federal Government should— (A) allow technical experts to use their skills to assist multiple departments and agencies of the Federal Government; (B) create fellowship programs with respect to artificial intelligence education for the purpose of increasing the number of individuals with artificial intelligence expertise that the Federal Government can recruit; (C) include in the criteria for recruiting for artificial intelligence jobs the consideration of a multi-disciplinary set of skills and an understanding of ethics