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2025年量化人工智能的经济潜力-辅助和自主发展情景之间的增长差异报告(英文版)-Rand兰德会员免费优质

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ResearchReportRANDTOBIASSYTSMAQuantifvingAl'sEconomic PotentiaGrowth Differentials Between Assistive and AutonomousDevelopment Scenarios

For more information on this publication. visit www.rand.ore/t/RR.A4220-1RAND is a research organization hat develops solutions to publi policy challenges to help make communities throughout the worksafr and moe secure, healthier and moreprosperous. R AND is nonpoft, onpartisan, and commited tothe public interest. To learnmore about RAND, visit www.rand.orge policy and decisionmaking through esearch and analy is is enabled through our core values of qualitnmitment to the highest leve of integrity and ethical behavior. To hep ensure our researdhance and relity of finandial and other conflicts of inerest through staf training projfect screening engagements through our commitment to the operce of furpublished research, and policies tolot necessarily reflect the opinions ofits research dientsand sponsors.hic DistributionRightspublication and trademarks) contained herein are protected by law. This representation of RAND intellectual pmoperty isI for noncommercial use only. Unauthorized posting of his puiblication online is prohibited; lin king directy to its webpagonrand.orgis encouraged. Permission is required from RAND to reproduce, or reusein another form, any ofits research products focomnercial purposes For in formation n reprint and reuse pernissions, ist w. rand org/about publishing/permnissonsRR-A4220-1

About This ReportThe analysisin this report models the economic implications oftwo contrasting boundaryscenarios for artificial intelligence (AI) development: restricting Al to purelyassistive tools thataugment hum an productivity versus en abling agents that ca autonomously perforn tasks at least a wellas homans and repliae hemnsdlves. The Agent Worldscenariorepresentsthe porentialofartficial generalinteligence(AGI) capablities, whereas the Toal Worldscenaridccialized systems that enhance human productivitying at the intersection of technologypolicygrowth modd and MonteCarlo simulationsagents could resultin the economyrage, than limiting Al to tols would. Thissto make Acent World economies nearly four times larger by 2045AlthoushtheAoent World scenario assumes successful resolution of AI safetv and alionmentTechnoloavandSecurityPolicvCenteRAND Global and Emerging Risks is a division of RANDthat deliversrigorous and objectivepublic policy research on the most consequential challenges to civilization and global security. Thiswork was undertaken by the division's Technoloov and Security Policy Center which exoloreshow high-consequence, dual-use technologies change the global competition and threat environment, then develops policy and technolog options to adrance the security of the United States its aliesand partnes, an d the world. For more information, contact tasp@rand.org,FundingThe Geopolitics of AGiI Initiative is independently initiated and conducted within the Tech...

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2025年量化人工智能的经济潜力-辅助和自主发展情景之间的增长差异报告(英文版)-Rand兰德

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