Bipartisan House Task Force on Artificial Intelligence: Final Report

Table of Contents

• Table of Contents 2
• Letter to Speaker Johnson and Democratic Leader Jeffries 4
• About the Bipartisan House AI Task Force in the 118th Congress 5
• Leading AI Progress Policy Insights and a U.S. Vision for AI Adoption Responsible Innovation and Governance 6
• Philosophy and Principles 7
• Bipartisan House Task Force on Artificial Intelligence Overview of Recommendations 10
• Government Use 10
• Federal Preemption of State Law 11
• Data Privacy 11
• National Security 11
• Research Development Standards 12
• Civil Rights Civil Liberties 13
• Education Workforce 14
• Intellectual Property 15
• Content Authenticity 15
• Open Closed Systems 16
• Energy Usage Data Centers 16
• Small Business 17
• Agriculture 18
• Healthcare 19
• Financial Services 19
• Background 21
• Key Findings 37
• Recommendations 39
• Background 43
• Key Findings 49
• Recommendations 50
• Background 51
• Key Findings 57
• Recommendations 58
• Background 59
• Key Findings 72
• Recommendations 73
• Background 74
• Key Findings 91
• Recommendations 93
• Background 98
• Key Findings 104
• Recommendations 105
• Background 107
• Key Findings 126
• Recommendations 127
• Background 131
• Key Findings 155
• Recommendations 156
• Background 157
• Key Findings 172
• Recommendations 173
• Background 175
• Key Findings 180
• Recommendations 181
• Background 182
• Key Findings 193
• Recommendations 194
• Background 196
• Key Findings 202
• Recommendations 203
• Background 205
• Key Findings 216
• Recommendations 218
• Background 220
• Key Findings 238
• Recommendations 239
• Background 241
• Key Findings 256
• Recommendations 257
• Appendix I AI Task Force Members 259
• Appendix II AI Task Force Events 262
• Appendix III Key Government Policies 266
• Appendix IV Areas for Future Exploration 268
• Appendix V Overview of AI Technology 269
• Artificial Intelligence AI 269
• Machine Learning ML 269
• Large Language Models LLMs 269
• Natural Language Processing NLP 270
• Foundation Models A type of AI model that through training on vast amounts of data is general purpose enough to be used in a wide variety of different tasks. 270
• Appendix VI Definitional Challenges of AI 271
• Acknowledgments 273