AI, algorithmic, and automation perception research
Attitudes towards, perceptions of, and trust in artificial intelligence, algorithms, and automation vary significantly across different cultures and industries and by the type, purpose, and impact of the technology.
Here is a selection of recent primary and secondary research studies on attitudes towards, perceptions of, and trust in AI, algorithms and automation amongst the general public, consumers, patients, politicians, business and other stakeholders.
Pew Research and YouGov provide regular tracking and polling of attitudes towards AI and algorithims in the USA and UK.
2023
AI Impacts. 2022 Expert Survey on Progress in AI
Center for the Governance of AI. Preliminary survey results: US and European publics overwhelmingly and increasingly agree that AI needs to be managed carefully
KPMG US. Executive generative AI adoption
KPMG/University of Queensland. Trust in Artificial Intelligence 2023 (pdf)
Pew Research. Public Awareness of Artificial Intelligence in Everyday Activities
Pew Research. AI in Hiring and Evaluating Workers: What Americans Think
Reuters/IPSOS. Reuters/Ipsos Issues Survey May 2023
2022
Simplr: 2022 Consumer Study on Chatbots
Centre for Data Ethics and Innovation: Public Attitudes to Data and AI Tracker Survey (pdf)
Pew Research: AI and Human Enhancement
Tony Blair Institute: How Big is the Tech Trust Gap?
University of Tokyo: Measuring Trust in AI
World Economic Forum/IPSOS: Global AI Poll
2021
Clifford Chance/Milltown Partners: Our Relationship with AI: Friend or Foe (pdf)
Dentons: AI Survey
IE Centre for the Governance of Change: European Tech Insights 2021 (pdf)
Edelman: Trust Barometer 2021 – Tech Sector
International Journal of Social Robotics: Investigating Trust in Interaction with Inconsistent Embodied Virtual Agents
KPMG/University of Queensland: Trust in Artificial Intelligence 2021
Pega: Future-proof 2025
Pew Research: Experts Doubt Ethical AI Design Will Be Broadly Adopted as the Norm Within the Next Decade
University of Queensland/KPMG: Trust in Artificial Intelligence: A Five Country Study (pdf)
2020
BEUC: AI - What Consumers Say (pdf)
BIT/CDEI: The Perception of Fairness of Algorithms and Proxy Information in Financial Services
CDEI/Deltapoll: Review into Bias in Algorithmic Decision-Making – Polling (pdf)
IEEE: Generation AI 2020 - Health, Wellness, and Technology in a Post-COVID World
Office of PSA, GOI / IITMAA: Driving the New Normal
Oxford Commission on AI & Good Governance: Global Attitudes Towards AI, Machine Learning & Automated Decision Making
Pew Research: Global Science Report: AI
SIENNA/Kantar: Public Views on Artificial Intelligence and Robots
University of Amsterdam: In AI we Trust?
2019
Ada Lovelace Institute: UK Public Attitudes towards Facial Recognition
Cap Gemini: Why addressing ethical questions in AI will benefit organisations
Deltapoll: AI and UK Public Standards
Edelman: AI Survey (pdf)
WEF/IPSOS: Global AI Poll (pdf)
Ipsos MORI: AI, Automation & Corporate Reputation
Leverhulme Centre for the Future of Intelligence: Scary Robots – Examining Public Attitudes to AI (pdf)
OMD: The Retail Revolution - AI Perceptions and Adoption (pdf)
Oxford Centre for the Governance of AI: AI – American Attitudes & Trends
Pega: AI and Empathy Study
2018
Bristows/Censuswide: AI – Public Perception, Attitude and Trust (pdf)
EIU/Microsoft: Intelligent Economies (pdf)
Pew Research: Artificial Intelligence and the Future of Humans
The Royal Society: Portrayals and Perceptions of AI and Why They Matter (pdf)
2017
ARM/Northstar: AI Today, AI Tomorrow
HubSpot/SSI: Artificial Intelligence is Here: People Just Don’t Realize It (pdf)
Microsoft/Stanford: Long-Term Trends in the Public Perception of Artificial Intelligence (pdf)
Pega: What Consumers Really Think about AI (pdf)
Royal Society/Ipsos MORI: Public views of Machine Learning (pdf)
2016
PwC: Why AI and Robotics will Define New Health (pdf)
Weber Shandwick: AI-Ready or Not (pdf)
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