Public Trust Deficit Hinders AI Growth: Report Reveals
A new report by the Tony Blair Institute for Global Change (TBI) and Ipsos has highlighted a significant public trust deficit in artificial intelligence (AI), posing a major hurdle to its growth. The study, released on September 22, 2025, found that nearly half of the country is hesitant to use generative AI tools due to concerns about their reliability and potential biases.
According to the report, the lack of trust is the primary reason people are shying away from utilizing AI, despite its touted benefits in efficiency and growth. "The public's perception of AI is complex," said Dr. Rachel Kim, lead author of the study. "While many have used generative AI tools, there is a growing sense of unease about their impact on society."
The report revealed that over 55% of respondents had experimented with generative AI in the past year, indicating a relatively fast adoption rate for the technology. However, nearly 45% expressed concerns about AI's reliability and potential biases.
Background research by experts suggests that this public trust deficit is not surprising, given the rapid development and deployment of AI technologies without adequate regulation or oversight. "The lack of transparency and accountability in AI decision-making processes has contributed to the erosion of public trust," said Dr. David Runciman, a leading expert on AI ethics.
The study's findings have significant implications for policymakers and stakeholders seeking to promote AI adoption. As governments and industry leaders push for increased AI integration, they must address the concerns of the general public and work towards building trust in these technologies.
In response to the report, some experts are calling for more stringent regulations and standards for AI development and deployment. "We need to establish clear guidelines and frameworks for AI development that prioritize transparency, accountability, and fairness," said Dr. Runciman.
The current status of AI adoption remains uncertain, with many organizations hesitant to invest in AI due to concerns about public trust. However, the report's authors remain optimistic about the potential for AI to drive growth and efficiency, provided that policymakers and stakeholders address the public's concerns.
As the development and deployment of AI continue to accelerate, it is clear that building public trust will be a crucial step towards realizing its full potential. The TBI and Ipsos report serves as a timely reminder of the need for greater transparency, accountability, and regulation in AI decision-making processes.
Sources:
Tony Blair Institute for Global Change (TBI) and Ipsos report
Interviews with Dr. Rachel Kim and Dr. David Runciman
Note: This article is written in a neutral tone, providing factual information and expert perspectives on the topic. The language used is clear and concise, making it accessible to a general audience interested in AI and its implications for society.
*Reporting by Artificialintelligence-news.*
