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KPMG Global AI Trust Study
webUseful empirical reference for AI governance discussions; provides large-scale public opinion data that can inform policy decisions, though it is a corporate survey rather than peer-reviewed academic research.
Metadata
Importance: 52/100organizational reportdataset
Summary
A large-scale survey of 48,000 respondents across 47 countries examines public attitudes toward AI adoption, identifying rising usage alongside significant trust deficits. The study highlights demographic and regional variations in AI acceptance and concern, with implications for governance and responsible deployment. It provides empirical grounding for understanding societal readiness and resistance to AI integration.
Key Points
- •Surveyed 48,000 people across 47 countries, making it one of the largest cross-national studies of public AI attitudes.
- •Finds rising AI adoption globally but persistent trust gaps, particularly around transparency, accountability, and safety.
- •Reveals significant regional and demographic differences in AI trust levels and willingness to rely on AI systems.
- •Highlights public concern about AI risks including job displacement, bias, and lack of human oversight.
- •Provides data relevant to policymakers and organizations designing governance frameworks for responsible AI deployment.
Review
The KPMG Global AI Trust Study provides a comprehensive insight into the current state of AI perception and usage worldwide. By surveying over 48,000 participants across 47 countries, the research reveals a complex landscape where AI adoption is rapidly increasing, yet public trust remains tentative. Key findings indicate that while 66% of people use AI regularly and 83% believe it will generate significant benefits, only 46% are willing to trust AI systems fully.
The study underscores the critical need for strategic interventions, recommending four key organizational actions: transformational leadership, enhancing trust, boosting AI literacy, and strengthening governance. These recommendations address the significant challenges revealed in the research, such as 66% of users relying on AI output without accuracy verification and 56% acknowledging work mistakes due to AI. The research provides a data-driven perspective on the urgent requirements for responsible AI development, emphasizing the importance of national and international regulation, with 70% of respondents supporting regulatory frameworks.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Trust Erosion Dynamics Model | Analysis | 59.0 |
Resource ID:
2f254d7fc3f63c7f | Stable ID: YzdkNjk5ND