; (B) improve access to a broad range of non-sensitive government data assets to help train artificial intelligence systems; (C) implement title II of the Foundations for Evidence-Based Policymaking Act of 2018 ( Public Law 115–435 ; 132 Stat. 5529); (D) develop policies to identify the data used to train artificial intelligence algorithms as well as data analyzed by artificial intelligence algorithms and systems in use by departments and agencies; and (E) further develop and release to the public available benchmark data assets with the proper safeguards to protect privacy, mitigate bias, and promote inclusivity. (2) Regulation and legislation review It is the sense of the House of Representatives that congressional committees should— (A) review the range of existing Federal regulations and laws that potentially apply to artificial intelligence; (B) determine which laws apply to artificial intelligence; (C) determine if any gaps in appropriate legislation and regulation exist and how such gaps could be addressed; (D) advance Federal privacy reforms that build trust, prevent harm, and maintain United States global leadership in artificial intelligence; and (E) conduct regular oversight of artificial intelligence policies in the executive branch within their jurisdiction. (3) Federal Funding It is the sense of the House of Representatives that Congress should support funding for departments and agencies of the Federal Government interested in adopting programs, including regulatory sandboxes, for the purposes of testing artificial intelligence tools in limited markets.