{"id":92840,"date":"2022-03-17T09:50:22","date_gmt":"2022-03-17T14:50:22","guid":{"rendered":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/2022\/03\/17\/ai-he-acknowledgments\/"},"modified":"2025-09-08T14:21:01","modified_gmt":"2025-09-08T18:21:01","slug":"ai-he-acknowledgments","status":"publish","type":"post","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-he-acknowledgments\/","title":{"rendered":"Acknowledgments"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">This report is a collaborative effort based on the input and analysis of the following individuals. Find related reports online at <a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/\">pewresearch.org\/pewresearch-org\/internet<\/a> and <a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/science\/\">pewresearch.org\/pewresearch-org\/science<\/a>.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"primary-researchers\">Primary researchers<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Cary Funk, <em>Director, Science and Society Research<\/em><br>Lee Rainie, <em>Director, Internet and Technology Research<\/em><br>Monica Anderson, <em>Associate Director<\/em><br>Alec Tyson, <em>Associate Director<\/em><br>Michelle Faverio, <em>Research Analyst<\/em><br>Risa Gelles-Watnick, <em>Research Assistant<\/em><br>Brian Kennedy, <em>Senior Researcher<\/em><br>Colleen McClain, <em>Research Associate<\/em><br>Andrew Perrin, <em>Research Analyst<\/em><br>Emily Saks, <em>Research Assistant<\/em><br>Alison Spencer, <em>Research Assistant<\/em><br>Emily A. Vogels, <em>Research Associate<\/em><\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"editorial-and-graphic-design\">Editorial and graphic design<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Margaret Porteus, <em>Information Graphics Designer<\/em><br>David Kent, <em>Senior Copy Editor<\/em><\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"communications-and-web-publishing\">Communications and web publishing<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Haley Nolan, <em>Communications Associate<\/em><br>Kelsey Beveridge, <em>Communications Associate<\/em><br>Sara Atske, <em>Associate Digital Producer<\/em><br>Reem Nadeem, <em>Associate Digital Producer<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In addition, the project benefited greatly from the guidance of Pew Research Center\u2019s methodology team: Courtney Kennedy, Andrew Mercer, Nick Bertoni, Dorene Asare-Marfo, Nick Hatley, Ashley Amaya and Arnold Lau. While developing the questionnaire, the Center benefited from a series of research talks and conversations with experts in artificial intelligence and human enhancement: Arthur Caplan, Drs. William F. and Virginia Connolly Mitty Professor of Bioethics, New York University; Deep Ganguli, former director of research, Stanford Institute for Human-Centered Artificial Intelligence; Josh Bongard, Professor of Computer Science, University of Vermont; Leia Stirling, Associate Professor of Industrial and Operations Engineering, University of Michigan; S. Matthew Liao, Arthur Zitrin Professor of Bioethics, New York University; Meredith Whittaker, co-founder of the AI Now Institute and Minderoo Research Professor of Technology, Culture and Society, New York University; Nicol Turner Lee, Director of Technology Innovation, Brookings Institution; C. Raymond Perrault, Distinguished Computer Scientist at SRI International; and Rob Reich, Associate Director of Stanford Institute for Human-Centered Artificial Intelligence and Professor of Political Science, Stanford.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This report is a collaborative effort based on the input and analysis of the following individuals. Find related reports online at pewresearch.org\/pewresearch-org\/internet and pewresearch.org\/pewresearch-org\/science. Primary researchers Cary Funk, Director, Science and Society ResearchLee Rainie, Director, Internet and Technology ResearchMonica Anderson, Associate DirectorAlec Tyson, Associate DirectorMichelle Faverio, Research AnalystRisa Gelles-Watnick, Research AssistantBrian Kennedy, Senior ResearcherColleen McClain, [&hellip;]<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","sub_headline":"","sub_title":"","_prc_public_revisions":[],"_ppp_expiration_hours":0,"_ppp_enabled":false,"ai_generated_summary":"","bylines":[],"acknowledgements":[],"displayBylines":true,"prc_watchers":[],"relatedPosts":[],"reportMaterials":[],"multiSectionReport":[],"package_parts__enabled":false,"package_parts":[],"_prc_fork_parent":0,"_prc_fork_status":"","_prc_active_fork":0,"datacite_doi":"","datacite_doi_citation":"","_prc_seo_qr_attachment_id":0,"spoken_article_player_enabled":true,"footnotes":""},"categories":[300,299,165,297,263,266,329,282,279,441,367,38,110,307,352,283,273],"tags":[],"bylines":[957,939,913,940],"collection":[],"datasets":[1795],"level_of_effort":[],"primary_audience":[],"information_type":[],"_post_visibility":[],"formats":[458],"_fund_pool":[],"languages":[],"regions-countries":[],"research-teams":[526,518],"workflow-status":[],"class_list":["post-92840","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-artificial-intelligence","category-biotech","category-emerging-technology","category-gene-editing","category-human-enhancement","category-misinformation","category-misinformation-online","category-online-privacy-security","category-police","category-police-2","category-political-issues","category-privacy-rights","category-social-media","category-social-media-news","category-tech-companies-1","category-technology-policy-issues","bylines-alec-tyson","bylines-cary-funk","bylines-lee-rainie","bylines-monica-anderson","datasets-american-trends-panel-wave-99","formats-report","research-teams-internet","research-teams-science"],"label":false,"post_parent":92838,"word_count":277,"canonical_url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-he-acknowledgments\/","art_direction":{"A1":{"id":115294,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png?w=564&h=317&crop=1","width":564,"height":317,"caption":"","chartArt":false},"A2":{"id":115294,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png?w=268&h=151&crop=1","width":268,"height":151,"caption":"","chartArt":false},"A3":{"id":115294,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png?w=194&h=110&crop=1","width":194,"height":110,"caption":"","chartArt":false},"A4":{"id":115294,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png?w=268&h=151&crop=1","width":268,"height":151,"caption":"","chartArt":false},"XL":{"id":115294,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png?w=720&h=405&crop=1","width":720,"height":405,"caption":"","chartArt":false},"social":{"id":115294,"rawUrl":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_22.03.06_AIandHE_featured.png?w=1200&h=628&crop=1","width":1200,"height":628,"caption":"","chartArt":false}},"_embeds":[],"watchers":[],"table_of_contents":[{"id":92838,"title":"AI and Human Enhancement: Americans\u2019 Openness Is Tempered by a Range of Concerns","slug":"ai-and-human-enhancement-americans-openness-is-tempered-by-a-range-of-concerns","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-and-human-enhancement-americans-openness-is-tempered-by-a-range-of-concerns\/","is_active":false},{"id":92851,"title":"1. How Americans think about artificial intelligence","slug":"how-americans-think-about-artificial-intelligence","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/how-americans-think-about-artificial-intelligence\/","is_active":false},{"id":92853,"title":"2. Public more likely to see facial recognition use by police as good, rather than bad for society","slug":"public-more-likely-to-see-facial-recognition-use-by-police-as-good-rather-than-bad-for-society","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/public-more-likely-to-see-facial-recognition-use-by-police-as-good-rather-than-bad-for-society\/","is_active":false},{"id":92830,"title":"3. Mixed views about social media companies using algorithms to find false information","slug":"mixed-views-about-social-media-companies-using-algorithms-to-find-false-information","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/mixed-views-about-social-media-companies-using-algorithms-to-find-false-information\/","is_active":false},{"id":92842,"title":"4. Americans cautious about the deployment of driverless cars","slug":"americans-cautious-about-the-deployment-of-driverless-cars","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/americans-cautious-about-the-deployment-of-driverless-cars\/","is_active":false},{"id":92832,"title":"5. What Americans think about possibilities ahead for human enhancement","slug":"what-americans-think-about-possibilities-ahead-for-human-enhancement","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/what-americans-think-about-possibilities-ahead-for-human-enhancement\/","is_active":false},{"id":92825,"title":"6. Public cautious about enhancing cognitive function using computer chip implants in the brain","slug":"public-cautious-about-enhancing-cognitive-function-using-computer-chip-implants-in-the-brain","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/public-cautious-about-enhancing-cognitive-function-using-computer-chip-implants-in-the-brain\/","is_active":false},{"id":92855,"title":"7. Americans are closely divided over editing a baby\u2019s genes to reduce serious health risk","slug":"americans-are-closely-divided-over-editing-a-babys-genes-to-reduce-serious-health-risk","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/americans-are-closely-divided-over-editing-a-babys-genes-to-reduce-serious-health-risk\/","is_active":false},{"id":92834,"title":"8. Mixed views about a future with widespread use of robotic exoskeletons to increase strength for manual labor jobs","slug":"mixed-views-about-a-future-with-widespread-use-of-robotic-exoskeletons-to-increase-strength-for-manual-labor-jobs","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/mixed-views-about-a-future-with-widespread-use-of-robotic-exoskeletons-to-increase-strength-for-manual-labor-jobs\/","is_active":false},{"id":92840,"title":"Acknowledgments","slug":"ai-he-acknowledgments","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-he-acknowledgments\/","is_active":true},{"id":92857,"title":"Methodology","slug":"ai-human-enhancement-methodology","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-human-enhancement-methodology\/","is_active":false},{"id":92847,"title":"Appendix","slug":"ai-human-enhancement-appendix","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-human-enhancement-appendix\/","is_active":false}],"report_materials":[{"key":"_5huh2z5rd","type":"report","attachmentId":115293,"url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PS_2022.03.17_AI-HE_REPORT.pdf","label":"","icon":""},{"key":"_203s11m15","type":"topline","attachmentId":114733,"url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2022\/03\/PI_2022.03.17_ai-he-TOPLINE.pdf","label":"","icon":""},{"type":"dataset","id":1795,"label":"American Trends Panel Wave 99","url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/dataset\/american-trends-panel-wave-99\/"}],"report_pagination":{"current_post":{"id":92840,"title":"Acknowledgments","slug":"ai-he-acknowledgments","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-he-acknowledgments\/","is_active":true,"page_num":10},"next_post":{"id":92857,"title":"Methodology","slug":"ai-human-enhancement-methodology","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-human-enhancement-methodology\/","is_active":false,"page_num":11},"previous_post":{"id":92834,"title":"8. 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Mixed views about a future with widespread use of robotic exoskeletons to increase strength for manual labor jobs","slug":"mixed-views-about-a-future-with-widespread-use-of-robotic-exoskeletons-to-increase-strength-for-manual-labor-jobs","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/mixed-views-about-a-future-with-widespread-use-of-robotic-exoskeletons-to-increase-strength-for-manual-labor-jobs\/","is_active":false,"page_num":9},{"id":92840,"title":"Acknowledgments","slug":"ai-he-acknowledgments","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-he-acknowledgments\/","is_active":true,"page_num":10},{"id":92857,"title":"Methodology","slug":"ai-human-enhancement-methodology","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-human-enhancement-methodology\/","is_active":false,"page_num":11},{"id":92847,"title":"Appendix","slug":"ai-human-enhancement-appendix","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/2022\/03\/17\/ai-human-enhancement-appendix\/","is_active":false,"page_num":12}]},"parent_info":{"parent_title":"AI and Human Enhancement: Americans\u2019 Openness Is Tempered by a Range of Concerns","parent_id":92838},"materialsOrdered":[],"chaptersOrdered":[],"partsOrdered":[],"partsEnabled":false,"datacite_doi":"","prc_seo_data":{"title":"Acknowledgments","description":"This report is a collaborative effort based on the input and analysis of the following individuals. 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