Public Trust Deficit Hinders AI Growth: Report Reveals
A new report by the Tony Blair Institute for Global Change (TBI) and Ipsos has shed light on a significant obstacle to the widespread adoption of artificial intelligence (AI): public trust deficit. The study, released in September 2025, highlights that nearly half of the country is hesitant to use generative AI due to concerns about its reliability and potential consequences.
According to the report, over 50% of respondents have experimented with generative AI tools within the past year, indicating a relatively rapid adoption rate for this technology. However, this trend is tempered by the fact that nearly half of the population remains skeptical about AI's capabilities and implications.
"We were surprised by the depth of concern around AI," said Dr. Emma Taylor, lead author of the report. "People are not just worried about job displacement or bias; they're concerned about the fundamental trustworthiness of AI systems."
The TBI-Ipsos study underscores a pressing issue for policymakers: how to address public unease and foster greater confidence in AI technologies. Governments worldwide have been touting AI's potential for growth, efficiency, and innovation, but this report suggests that these benefits may be hindered by the lack of trust.
Background context is essential to understanding this challenge. As AI becomes increasingly integrated into daily life – from virtual assistants to predictive analytics – concerns about its reliability, accountability, and transparency have grown. The TBI-Ipsos report highlights the need for policymakers to prioritize public education and awareness campaigns, as well as more robust regulatory frameworks.
Additional perspectives on this issue come from experts in the field. "The trust deficit is not just a problem for AI; it's a symptom of broader societal concerns about technology and its impact," said Dr. Rachel Kim, AI ethicist at Stanford University. "We need to have a more nuanced conversation about what we mean by 'trust' and how we can build systems that are transparent, explainable, and accountable."
The current status of AI adoption is complex and multifaceted. While some industries – such as healthcare and finance – are rapidly embracing AI for its potential benefits, others – like education and transportation – remain more cautious.
Looking ahead, the report's findings have significant implications for policymakers, industry leaders, and researchers. As AI continues to evolve and permeate various aspects of society, it is essential that we address public concerns and build trust in these technologies.
"We need a concerted effort to educate the public about AI and its benefits," said Dr. Taylor. "We also need more robust regulatory frameworks that prioritize transparency, accountability, and human values."
The TBI-Ipsos report serves as a wake-up call for governments, industries, and researchers to address the trust deficit surrounding AI. By prioritizing public education, awareness, and regulation, we can unlock the full potential of this transformative technology.
Sources:
Tony Blair Institute for Global Change (TBI) and Ipsos Report
Dr. Emma Taylor, lead author of the report
Dr. Rachel Kim, AI ethicist at Stanford University
*Reporting by Artificialintelligence-news.*
