Experian, the global data and tech company, has released a report examining UK business professionals’ perspectives on so-called Responsible AI, which is described as a framework for designing, building and deploying AI “safely across its lifecycle.” The research shared by Experian shows that AI is already delivering seemingly solid results, with the majority or around 89% of respondents reporting a positive impact on performance (by leveraging artificial intelligence in a proper manner).
But Experian pointed out that as adoption continues to grow, the vast majority or 87% believe Responsible AI practices will become a differentiator within the next few years.
Meanwhile, Experian also mentioned that growing customer expectations are driving the demand for Responsible AI.
The majority (84%) of respondents say customers now really want to know how AI is governed and who is actually accountable.
Although the value of Responsible AI is now acknowledged, 76% of business leaders admit that putting it into practice “remains one of their biggest challenges.”
According to the update from Experian, the most common barriers include fairly limited “technical expertise (32%), difficulty applying principles to real-world use cases (31%) and challenges in balancing innovation and speed with effective governance (30%).”
The research also highlights a gap in data quality and skills.
Although most or 90% agree that high-quality data is essential for Responsible AI, only “43% are confident their data is strong enough to support it.”
In addition, just 48% of respondents believe their teams “are well prepared to drive Responsible AI forward, highlighting the need for data governance, hands-on training, and cross-functional collab.”
To help businesses overcome these obstacles, Experian has developed guidance in the report on how “to embed Responsible AI including assessing AI model performance and applying security best practice to every AI use case.”
Created by Experian’s AI and data science professionals, these principles have helped shape how teams “across the business approach training, innovation, and Responsible AI deployment.”
Christine Foster, General Manager for AI and Automation, Experian UK&I, said:
“AI is already delivering real value for businesses and customers. The focus now is on ensuring it drives meaningful outcomes in a responsible way. That means putting the right foundations in place including high-quality data as well as clear accountability, and tools that support AI adoption across its lifecycle. As AI evolves, especially with autonomous systems on the rise, getting this right will be critical to building trust, enabling better business decisions, and staying competitive.”
Sue Daley, Director of Technology and Innovation, techUK added:
“As AI continues to transition from pilots to widespread adoption, its critical organisations establish and operationalise clear frameworks for accountability, transparency, and fairness.”
Research conducted by Insight Avenue in August to Sept 2025 “with 500 senior decision-makers in organisations with 250+ employees across the UK and Ireland.”
Every participant was reportedly involved in AI use, “oversight or governance within their organisations.”
