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<title>About us | 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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<h1>About us</h1>
<div id="about-the-center-for-the-governance-of-ai" class="section level2 unnumbered">
<h2>About the Center for the Governance of AI</h2>
<p>The Center for the Governance of AI, housed at the Future of Humanity Institute, University of Oxford, strives to help humanity capture the benefits and mitigate the risks of artificial intelligence. Our focus is on the political challenges arising from transformative AI: advanced AI systems whose long-term impacts may be as profound as the industrial revolution. The Center seeks to guide the development of AI for the common good by conducting research on important and neglected issues of AI governance, and advising decision makers on this research through policy engagement.</p>
<p>The Center produces research which is foundational to the field of AI governance, for example mapping crucial considerations to direct the <a href="https://www.fhi.ox.ac.uk/wp-content/uploads/AI-Governance_-A-Research-Agenda.pdf">research agenda</a>, or identifying distinctive features of the transition to transformative AI and corresponding <a href="https://www.fhi.ox.ac.uk/wp-content/uploads/Policy-Desiderata-in-the-Development-of-Machine-Superintelligence.pdf">policy considerations</a>. Our research also addresses more immediate policy issues, such as <a href="https://maliciousaireport.com/">malicious use</a> and <a href="https://www.fhi.ox.ac.uk/wp-content/uploads/Deciphering_Chinas_AI-Dream.pdf">China’s AI strategy</a>. Our work takes a cross-disciplinary approach, looking at transformative AI through the lenses of e.g. international security, the history of technology development, law and public opinion.</p>
<p>In addition to research, the Center for the Governance of AI is active in international policy circles, and actively advises governments and industry leaders on AI strategy. The Center for the Governance of AI researchers has spoken at the NIPS and AAAI/ACM conferences, and at events involving the German Federal Foreign Office, the European Commission, the European Parliament, the UK House of Lords, the U.S. Congress, and others.</p>
<p>The Center’s papers and reports are available at <a href="https://www.governance.ai">https://www.governance.ai</a>.</p>
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<div id="about-the-future-of-humanity-institute" class="section level2 unnumbered">
<h2>About the Future of Humanity Institute</h2>
<p>The Future of Humanity Institute, University of Oxford, is a multidisciplinary research institute at the University of Oxford. Academics at FHI bring the tools of mathematics, philosophy and social sciences to bear on big-picture questions about humanity and its prospects. The Institute is led by Founding Director Professor Nick Bostrom. Humanity has the potential for a long and flourishing future. Our mission is to shed light on crucial considerations that might shape that future. More information at <a href="http://www.fhi.ox.ac.uk/" class="uri">http://www.fhi.ox.ac.uk/</a>.</p>
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