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<!DOCTYPE html>
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<title>Acknowledgements | Artificial Intelligence: American Attitudes and Trends</title>
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<meta name="author" content="Baobao Zhang and Allan Dafoe" />
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<li><img src="images/small_logo.png" alt="Report small logo" width="272px" hspace="12" vspace="12"/></li>
<li><a href="index.html"><b>Table of Contents</b></a></li>
<li class="divider"></li>
<li class="chapter" data-level="1" data-path="executive-summary.html"><a href="executive-summary.html"><i class="fa fa-check"></i><b>1</b> Executive summary</a><ul>
<li class="chapter" data-level="1.1" data-path="executive-summary.html"><a href="executive-summary.html#select-results"><i class="fa fa-check"></i><b>1.1</b> Select results</a></li>
<li class="chapter" data-level="1.2" data-path="executive-summary.html"><a href="executive-summary.html#reading-notes"><i class="fa fa-check"></i><b>1.2</b> Reading notes</a></li>
<li class="chapter" data-level="1.3" data-path="executive-summary.html"><a href="executive-summary.html#press-coverage"><i class="fa fa-check"></i><b>1.3</b> Press coverage</a></li>
</ul></li>
<li class="chapter" data-level="2" data-path="general-attitudes-toward-ai.html"><a href="general-attitudes-toward-ai.html"><i class="fa fa-check"></i><b>2</b> General attitudes toward AI</a><ul>
<li class="chapter" data-level="2.1" data-path="general-attitudes-toward-ai.html"><a href="general-attitudes-toward-ai.html#subsecsupportai"><i class="fa fa-check"></i><b>2.1</b> More Americans support than oppose developing AI</a></li>
<li class="chapter" data-level="2.2" data-path="general-attitudes-toward-ai.html"><a href="general-attitudes-toward-ai.html#subsecdemosupportai"><i class="fa fa-check"></i><b>2.2</b> Support for developing AI is greater among those who are wealthy, educated, male, or have experience with technology</a></li>
<li class="chapter" data-level="2.3" data-path="general-attitudes-toward-ai.html"><a href="general-attitudes-toward-ai.html#subsecsupportmanageai"><i class="fa fa-check"></i><b>2.3</b> An overwhelming majority of Americans think that AI and robots should be carefully managed</a></li>
<li class="chapter" data-level="2.4" data-path="general-attitudes-toward-ai.html"><a href="general-attitudes-toward-ai.html#harmful-consequences-of-ai-in-the-context-of-other-global-risks"><i class="fa fa-check"></i><b>2.4</b> Harmful consequences of AI in the context of other global risks</a></li>
<li class="chapter" data-level="2.5" data-path="general-attitudes-toward-ai.html"><a href="general-attitudes-toward-ai.html#americans-understanding-of-key-technology-terms"><i class="fa fa-check"></i><b>2.5</b> Americans’ understanding of key technology terms</a></li>
</ul></li>
<li class="chapter" data-level="3" data-path="public-opinion-on-ai-governance.html"><a href="public-opinion-on-ai-governance.html"><i class="fa fa-check"></i><b>3</b> Public opinion on AI governance</a><ul>
<li class="chapter" data-level="3.1" data-path="public-opinion-on-ai-governance.html"><a href="public-opinion-on-ai-governance.html#subsecgovchallenges13"><i class="fa fa-check"></i><b>3.1</b> Americans consider many AI governance challenges to be important; prioritize data privacy and preventing AI-enhanced cyber attacks, surveillance, and digital manipulation</a></li>
<li class="chapter" data-level="3.2" data-path="public-opinion-on-ai-governance.html"><a href="public-opinion-on-ai-governance.html#americans-who-are-younger-who-have-cs-or-engineering-degrees-express-less-concern-about-ai-governance-challenges"><i class="fa fa-check"></i><b>3.2</b> Americans who are younger, who have CS or engineering degrees express less concern about AI governance challenges</a></li>
<li class="chapter" data-level="3.3" data-path="public-opinion-on-ai-governance.html"><a href="public-opinion-on-ai-governance.html#americans-place-the-most-trust-in-the-u.s.-military-and-universities-to-build-ai-trust-tech-companies-and-non-governmental-organizations-more-than-the-government-to-manage-the-technology"><i class="fa fa-check"></i><b>3.3</b> Americans place the most trust in the U.S. military and universities to build AI; trust tech companies and non-governmental organizations more than the government to manage the technology</a></li>
</ul></li>
<li class="chapter" data-level="4" data-path="ai-policy-and-u-s-china-relations.html"><a href="ai-policy-and-u-s-china-relations.html"><i class="fa fa-check"></i><b>4</b> AI policy and U.S.-China relations</a><ul>
<li class="chapter" data-level="4.1" data-path="ai-policy-and-u-s-china-relations.html"><a href="ai-policy-and-u-s-china-relations.html#americans-underestimate-the-u.s.-and-chinas-ai-research-and-development"><i class="fa fa-check"></i><b>4.1</b> Americans underestimate the U.S. and China’s AI research and development</a></li>
<li class="chapter" data-level="4.2" data-path="ai-policy-and-u-s-china-relations.html"><a href="ai-policy-and-u-s-china-relations.html#subsecexperimentchina"><i class="fa fa-check"></i><b>4.2</b> Communicating the dangers of a U.S.-China arms race requires explaining policy trade-offs</a></li>
<li class="chapter" data-level="4.3" data-path="ai-policy-and-u-s-china-relations.html"><a href="ai-policy-and-u-s-china-relations.html#americans-see-the-potential-for-u.s.-china-cooperation-on-some-ai-governance-challenges"><i class="fa fa-check"></i><b>4.3</b> Americans see the potential for U.S.-China cooperation on some AI governance challenges</a></li>
</ul></li>
<li class="chapter" data-level="5" data-path="trend-across-time-attitudes-toward-workplace-automation.html"><a href="trend-across-time-attitudes-toward-workplace-automation.html"><i class="fa fa-check"></i><b>5</b> Trend across time: attitudes toward workplace automation</a><ul>
<li class="chapter" data-level="5.1" data-path="trend-across-time-attitudes-toward-workplace-automation.html"><a href="trend-across-time-attitudes-toward-workplace-automation.html#americans-do-not-think-that-labor-market-disruptions-will-increase-with-time"><i class="fa fa-check"></i><b>5.1</b> Americans do not think that labor market disruptions will increase with time</a></li>
<li class="chapter" data-level="5.2" data-path="trend-across-time-attitudes-toward-workplace-automation.html"><a href="trend-across-time-attitudes-toward-workplace-automation.html#extending-the-historical-time-trend"><i class="fa fa-check"></i><b>5.2</b> Extending the historical time trend</a></li>
</ul></li>
<li class="chapter" data-level="6" data-path="high-level-machine-intelligence.html"><a href="high-level-machine-intelligence.html"><i class="fa fa-check"></i><b>6</b> High-level machine intelligence</a><ul>
<li class="chapter" data-level="6.1" data-path="high-level-machine-intelligence.html"><a href="high-level-machine-intelligence.html#arrivesooner"><i class="fa fa-check"></i><b>6.1</b> The public predicts a 54% likelihood of high-level machine intelligence within 10 years</a></li>
<li class="chapter" data-level="6.2" data-path="high-level-machine-intelligence.html"><a href="high-level-machine-intelligence.html#subsecsupporthlmi"><i class="fa fa-check"></i><b>6.2</b> Americans express mixed support for developing high-level machine intelligence</a></li>
<li class="chapter" data-level="6.3" data-path="high-level-machine-intelligence.html"><a href="high-level-machine-intelligence.html#subsecdemohlmi"><i class="fa fa-check"></i><b>6.3</b> High-income Americans, men, and those with tech experience express greater support for high-level machine intelligence</a></li>
<li class="chapter" data-level="6.4" data-path="high-level-machine-intelligence.html"><a href="high-level-machine-intelligence.html#subsecharmgood"><i class="fa fa-check"></i><b>6.4</b> The public expects high-level machine intelligence to be more harmful than good</a></li>
</ul></li>
<li class="appendix"><span><b>Appendices</b></span></li>
<li class="chapter" data-level="A" data-path="appmethod.html"><a href="appmethod.html"><i class="fa fa-check"></i><b>A</b> Appendix A: Methodology</a><ul>
<li class="chapter" data-level="A.1" data-path="appmethod.html"><a href="appmethod.html#yougovsampling"><i class="fa fa-check"></i><b>A.1</b> YouGov sampling and weights</a></li>
<li class="chapter" data-level="A.2" data-path="appmethod.html"><a href="appmethod.html#appdemosubgroups"><i class="fa fa-check"></i><b>A.2</b> Demographic subgroups</a></li>
<li class="chapter" data-level="A.3" data-path="appmethod.html"><a href="appmethod.html#appanalysis"><i class="fa fa-check"></i><b>A.3</b> Analysis</a></li>
<li class="chapter" data-level="A.4" data-path="appmethod.html"><a href="appmethod.html#datasharing"><i class="fa fa-check"></i><b>A.4</b> Data sharing</a></li>
</ul></li>
<li class="chapter" data-level="B" data-path="apptopline.html"><a href="apptopline.html"><i class="fa fa-check"></i><b>B</b> Appendix B: Topline questionnaire</a><ul>
<li class="chapter" data-level="B.1" data-path="apptopline.html"><a href="apptopline.html#global_risks"><i class="fa fa-check"></i><b>B.1</b> Global risks</a></li>
<li class="chapter" data-level="B.2" data-path="apptopline.html"><a href="apptopline.html#considersai"><i class="fa fa-check"></i><b>B.2</b> Survey experiment: what the public considers AI, automation, machine learning, and robotics</a></li>
<li class="chapter" data-level="B.3" data-path="apptopline.html"><a href="apptopline.html#knowledge-of-computer-science-cstechnology"><i class="fa fa-check"></i><b>B.3</b> Knowledge of computer science (CS)/technology</a></li>
<li class="chapter" data-level="B.4" data-path="apptopline.html"><a href="apptopline.html#supportdevai"><i class="fa fa-check"></i><b>B.4</b> Support for developing AI</a></li>
<li class="chapter" data-level="B.5" data-path="apptopline.html"><a href="apptopline.html#manageexp"><i class="fa fa-check"></i><b>B.5</b> Survey experiment: AI and/or robots should be carefully managed</a></li>
<li class="chapter" data-level="B.6" data-path="apptopline.html"><a href="apptopline.html#trustdevai"><i class="fa fa-check"></i><b>B.6</b> Trust of actors to develop AI</a></li>
<li class="chapter" data-level="B.7" data-path="apptopline.html"><a href="apptopline.html#trustmanageai"><i class="fa fa-check"></i><b>B.7</b> Trust of actors to manage AI</a></li>
<li class="chapter" data-level="B.8" data-path="apptopline.html"><a href="apptopline.html#govchallenges"><i class="fa fa-check"></i><b>B.8</b> AI governance challenges</a></li>
<li class="chapter" data-level="B.9" data-path="apptopline.html"><a href="apptopline.html#airesearchcompare"><i class="fa fa-check"></i><b>B.9</b> Survey experiment: comparing perceptions of U.S. vs. China AI research and development</a></li>
<li class="chapter" data-level="B.10" data-path="apptopline.html"><a href="apptopline.html#armsraceexp"><i class="fa fa-check"></i><b>B.10</b> Survey experiment: U.S.-China arms race</a><ul>
<li class="chapter" data-level="B.10.1" data-path="apptopline.html"><a href="apptopline.html#control"><i class="fa fa-check"></i><b>B.10.1</b> Control</a></li>
<li class="chapter" data-level="B.10.2" data-path="apptopline.html"><a href="apptopline.html#nationalism-treatment"><i class="fa fa-check"></i><b>B.10.2</b> Nationalism treatment</a></li>
<li class="chapter" data-level="B.10.3" data-path="apptopline.html"><a href="apptopline.html#war-risks-treatment"><i class="fa fa-check"></i><b>B.10.3</b> War risks treatment</a></li>
<li class="chapter" data-level="B.10.4" data-path="apptopline.html"><a href="apptopline.html#common-humanity-treatment"><i class="fa fa-check"></i><b>B.10.4</b> Common humanity treatment</a></li>
</ul></li>
<li class="chapter" data-level="B.11" data-path="apptopline.html"><a href="apptopline.html#uschinacoop"><i class="fa fa-check"></i><b>B.11</b> Issue areas for possible U.S.-China cooperation</a></li>
<li class="chapter" data-level="B.12" data-path="apptopline.html"><a href="apptopline.html#jobtime"><i class="fa fa-check"></i><b>B.12</b> Trend across time: job creation or job loss</a></li>
<li class="chapter" data-level="B.13" data-path="apptopline.html"><a href="apptopline.html#forecasthlmi"><i class="fa fa-check"></i><b>B.13</b> High-level machine intelligence: forecasting timeline</a></li>
<li class="chapter" data-level="B.14" data-path="apptopline.html"><a href="apptopline.html#supporthlmi"><i class="fa fa-check"></i><b>B.14</b> Support for developing high-level machine intelligence</a></li>
<li class="chapter" data-level="B.15" data-path="apptopline.html"><a href="apptopline.html#expectedoutcome"><i class="fa fa-check"></i><b>B.15</b> Expected outcome of high-level machine intelligence</a></li>
</ul></li>
<li class="chapter" data-level="C" data-path="addresults.html"><a href="addresults.html"><i class="fa fa-check"></i><b>C</b> Appendix C: Additional data analysis results</a><ul>
<li class="chapter" data-level="C.1" data-path="addresults.html"><a href="addresults.html#addsupportdevai"><i class="fa fa-check"></i><b>C.1</b> Support for developing AI</a></li>
<li class="chapter" data-level="C.2" data-path="addresults.html"><a href="addresults.html#addcarefullym"><i class="fa fa-check"></i><b>C.2</b> Survey experiment and cross-national comparison: AI and/or robots should be carefully managed</a></li>
<li class="chapter" data-level="C.3" data-path="addresults.html"><a href="addresults.html#appglobalrisks"><i class="fa fa-check"></i><b>C.3</b> Harmful consequences of AI in the context of other global risks</a></li>
<li class="chapter" data-level="C.4" data-path="addresults.html"><a href="addresults.html#aawhatsai"><i class="fa fa-check"></i><b>C.4</b> Survey experiment: what the public considers AI, automation, machine learning, and robotics</a></li>
<li class="chapter" data-level="C.5" data-path="addresults.html"><a href="addresults.html#appgovchallenges"><i class="fa fa-check"></i><b>C.5</b> AI governance challenges: prioritizing governance challenges</a></li>
<li class="chapter" data-level="C.6" data-path="addresults.html"><a href="addresults.html#trust-in-various-actors-to-develop-and-manage-ai-in-the-interest-of-the-public"><i class="fa fa-check"></i><b>C.6</b> Trust in various actors to develop and manage AI in the interest of the public</a></li>
<li class="chapter" data-level="C.7" data-path="addresults.html"><a href="addresults.html#appuschinacomp"><i class="fa fa-check"></i><b>C.7</b> Survey experiment: comparing perceptions of U.S. vs. China AI research and development</a></li>
<li class="chapter" data-level="C.8" data-path="addresults.html"><a href="addresults.html#appuschinaarmsrace"><i class="fa fa-check"></i><b>C.8</b> Survey experiment: U.S.-China arms race</a></li>
<li class="chapter" data-level="C.9" data-path="addresults.html"><a href="addresults.html#appjobloss"><i class="fa fa-check"></i><b>C.9</b> Trend across time: job creation or job loss</a></li>
<li class="chapter" data-level="C.10" data-path="addresults.html"><a href="addresults.html#apphlmi"><i class="fa fa-check"></i><b>C.10</b> High-level machine intelligence: forecasting timeline</a></li>
<li class="chapter" data-level="C.11" data-path="addresults.html"><a href="addresults.html#appsupporthlmi"><i class="fa fa-check"></i><b>C.11</b> Support for developing high-level machine intelligence</a></li>
<li class="chapter" data-level="C.12" data-path="addresults.html"><a href="addresults.html#appexpectedoutcome"><i class="fa fa-check"></i><b>C.12</b> Expected outcome of high-level machine intelligence</a></li>
</ul></li>
<li class="chapter" data-level="" data-path="acknowledgements.html"><a href="acknowledgements.html"><i class="fa fa-check"></i>Acknowledgements</a><ul>
<li class="chapter" data-level="" data-path="acknowledgements.html"><a href="acknowledgements.html#primary-researchers"><i class="fa fa-check"></i>Primary researchers</a></li>
<li class="chapter" data-level="" data-path="acknowledgements.html"><a href="acknowledgements.html#editing-and-design"><i class="fa fa-check"></i>Editing and design</a></li>
<li class="chapter" data-level="" data-path="acknowledgements.html"><a href="acknowledgements.html#funders"><i class="fa fa-check"></i>Funders</a></li>
<li class="chapter" data-level="" data-path="acknowledgements.html"><a href="acknowledgements.html#for-media-or-other-inquiries"><i class="fa fa-check"></i>For media or other inquiries</a></li>
<li class="chapter" data-level="" data-path="acknowledgements.html"><a href="acknowledgements.html#recommended-citation"><i class="fa fa-check"></i>Recommended citation</a></li>
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<li class="chapter" data-level="" data-path="about-us.html"><a href="about-us.html"><i class="fa fa-check"></i>About us</a><ul>
<li class="chapter" data-level="" data-path="about-us.html"><a href="about-us.html#about-the-center-for-the-governance-of-ai"><i class="fa fa-check"></i>About the Center for the Governance of AI</a></li>
<li class="chapter" data-level="" data-path="about-us.html"><a href="about-us.html#about-the-future-of-humanity-institute"><i class="fa fa-check"></i>About the Future of Humanity Institute</a></li>
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<li class="chapter" data-level="" data-path="references.html"><a href="references.html"><i class="fa fa-check"></i>References</a></li>
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<li><a href="https://governance.ai">Center for the Governance of AI</a></li>
<li><a href="https://www.fhi.ox.ac.uk/">Future of Humanity Institute</a></li>
<li><a href="http://www.ox.ac.uk/">University of Oxford</a></li>
<li><img src="images/FHI-Logo-Print.png" alt="FHI logo" width="77px" hspace="12"/><img src="images/oxford-university-logo.png" alt="Oxford logo" width="74px" hspace="12"/></li>
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<div id="acknowledgements" class="section level1 unnumbered">
<h1>Acknowledgements</h1>
<div id="primary-researchers" class="section level2 unnumbered">
<h2>Primary researchers</h2>
<p><strong><a href="https://baobaofzhang.github.io/">Baobao Zhang</a></strong></p>
<p>Research Affiliate, Center for the Governance of AI, Future of Humanity Institute, University of Oxford</p>
<p>PhD Candidate, Department of Political Science, Yale University</p>
<p><strong><a href="https://www.allandafoe.com/">Allan Dafoe</a></strong></p>
<p>Director, Center for the Governance of AI, Future of Humanity Institute, University of Oxford</p>
<p>Associate Professor and Senior Research Fellow in the International Politics of AI, University of Oxford</p>
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<div id="editing-and-design" class="section level2 unnumbered">
<h2>Editing and design</h2>
<p>For useful feedback we would like to thank: Miles Brundage, Jack Clark, Kanta Dihal, Jeffrey Ding, Carrick Flynn, Ben Garfinkel, Rose Hadshar, Tim Hwang, Katelynn Kyker, Jade Leung, Luke Muehlhauser, Cullen O’Keefe, Michael Page, William Rathje, Carl Shulman, Brian Tse, Remco Zwetsloot, and the YouGov Team (Marissa Shih and Sam Luks). In particular, we are grateful for Markus Anderljung’s insightful suggestions and detailed editing.</p>
<p>Copy editor: Steven Van Tassell</p>
<p>Cover design: Laura Pomarius</p>
<p>Web design: Baobao Zhang</p>
<p>Research assistants: Will Marks and Catherine Peng</p>
</div>
<div id="funders" class="section level2 unnumbered">
<h2>Funders</h2>
<p>The research was funded by the <a href="https://aiethicsinitiative.org/">Ethics and Governance of Artificial Intelligence Fund</a> and <a href="http://www.goodventures.org/">Good Ventures</a>.</p>
</div>
<div id="for-media-or-other-inquiries" class="section level2 unnumbered">
<h2>For media or other inquiries</h2>
<p>Baobao Zhang</p>
<p>+1 (813) 368-9992</p>
<p>Email: <a href="mailto:surveys@governance.ai" class="email">surveys@governance.ai</a></p>
<p>Website: <a href="www.governance.ai">www.governance.ai</a></p>
<p>We invite suggestions for questions and partnership opportunities for future survey waves.</p>
</div>
<div id="recommended-citation" class="section level2 unnumbered">
<h2>Recommended citation</h2>
<p>Zhang, Baobao and Allan Dafoe. “Artificial Intelligence: American Attitudes and Trends.” Oxford, UK: Center for the Governance of AI, Future of Humanity Institute, University of Oxford, 2019. <a href="https://ssrn.com/abstract=3312874" class="uri">https://ssrn.com/abstract=3312874</a></p>
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