Attitudes towards 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 perceptions on and trust in AI, algorithms and automation amongst the general public, consumers, patients, politicians, business and other stakeholders.
- BEUC: AI: What Consumers Say (pdf)
- IEEE: Generation AI 2020: Health, Wellness, and Technology in a Post-COVID World
- Oxford Commission on AI & Good Governance: Global Attitudes Towards AI, Machine Learning & Automated Decision Making
- SIENNA/Kantar: Public Views on Artificial Intelligence and Robots
- 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
- Pega: AI and Empathy Study
- Edelman: AI Survey (pdf)
- Ipsos MORI: AI, Automation & Corporate Reputation
- Oxford Centre for the Governance of AI: AI – American Attitudes & Trends
- Pew: Artificial Intelligence and the Future of Humans
- Bristows/Censuswide: AI – Public Perception, Attitude and Trust (pdf)
- EIU/Microsoft: Intelligent Economies
- ARM/Northstar: AI Today, AI Tomorrow (pdf)
- 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)
Let me know about your AI, algorithmic and automation perception research.
Contact Charlie Pownall to discuss your AI, algorithmic and automation reputational or communications requirements.
Last updated November 12, 2020