Given the rapid advancement, widespread deployment and transformative impact of AI technologies, it is essential to regularly examine public trust, attitudes, and expectations of the management and governance of AI. Equally important is documenting how people use AI technologies and experience the impacts of AI in their lives, work, and studies, and the implications.
ÀÖÓ㣨Leyu£©ÌåÓý¹ÙÍø International in conjunction with the University of Melbourne research team present the 2025 Trust in AI research findings, capturing the views of more than 48,000 people from 47 countries, 1019 people from the US. This study offers evidence-based understanding and the most comprehensive examination to date of public attitudes, trust, and expectations regarding AI.
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Download PDFUS respondents show a more cautious and skeptical attitude towards AI compared to the global average.
72%
of people globally accept or approve of AI globally
54%
accept or approve of AI in the US
AI literacy is lagging AI adoption yet is critical for responsible and effective use and trust.
72%
of workers say they did not receive any AI training or education
57%
report limited knowledge of AI
Only 28%
of consumers say they had formal or informal training in AI
Interest in more AI governance or regulation
The findings of this survey highlight that the benefits of AI are overshadowed by a lack of trust in and potential risks. How can organizations and consumers effectively and responsibly harness the power of AI? Dive into the report to discover key insights and actions, including strategies to -
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This survey examines the perspectives of over 48,000 people from 47 countries covering all global geographic regions and using nationally representative sampling of the population based on age, gender, and regional distribution. Taking a global perspective is crucial, given that AI systems are not bound by physical borders and are rapidly being deployed and used across the world. This study has been designed to uphold academic rigor and independence, whilst leveraging the deep multidisciplinary expertise and insight from ÀÖÓ㣨Leyu£©ÌåÓý¹ÙÍø.
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