Published 30 November 2022; last updated 6 September 2023
For global surveys, see Ipsos's Global Views on A.I. 2023 (2023) and Global Opinions and Expectations about Artificial Intelligence (2021, published 2022), Lloyd's Register Foundation's World Risk Poll 2021: A Digital World (2021, published 2022), Oxford Internet Institute's Global Attitudes Towards AI, Machine Learning & Automated Decision Making (2019-2020, published 2020), Kelley et al.'s Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries (2019, published 2021), Ipsos's Widespread Concern about Artificial Intelligence (2019), Yeh et al.'s Public Perception of Artificial Intelligence and Its Connections to the Sustainable Development Goals (2020, published 2021), Pew's International Science Survey (2019-2020, published 2020), and Pew's short report on jobs from its Global Attitudes Survey: In Advanced and Emerging Economies Alike, Worries About Job Automation (2018).
For European surveys, see GovAI's Preliminary survey results: US and European publics overwhelmingly and increasingly agree that AI needs to be managed carefully (2023); Eurobarometer's Special Eurobarometer 460: Attitudes towards the impact of digitisation and automation on daily life (2017), Standard Eurobarometer 92: Europeans and Artificial Intelligence (2019) (pdf), and Special Eurobarometer 516: European citizens' knowledge and attitudes towards science and technology (2021) (pdf); UCD Centre for Digital Policy's Public Perceptions of AI (2023); and Brauner et al. 2023.
For UK surveys, see Public First (2023) and the Ada Lovelace Institute's How do people feel about AI? (2023). See also the Royal Society's Public views of Machine Learning (2016, published 2017), which involved more open-ended interviews of the UK public, and Stephen Cave et al.'s Scary Robots (published 2019), which focused on “responses to eight common narratives about AI,” and maybe some government surveys.
For Asian surveys, see Kyodo News's Nearly 70% call for regulating development of AI bots: poll (2023).
For non-US North American surveys, see Ipsos's Canadians Divided on Opinion of Artificial Intelligence ChatGPT (2023).
For Australian surveys, see Yigitcanlar et al.'s Drivers behind the public perception of artificial intelligence: insights from major Australian cities (2020, published 2022).
For discussion on knowledge of AI, attitudes on some particular applications, and demographic analysis, see Baobao Zhang's Public Opinion Toward Artificial Intelligence (2021).
This page is not exhaustive.
Author: Zach Stein-Perlman