As artificial intelligence adoption accelerates, trust in the data powering AI systems is becoming a critical issue.
Obsurvant’s research, featured in The AI Journal, highlights growing public concern around how AI training data is sourced, governed, and used.
Our study, targeting respondents in the UK, found that 88% of AI users are worried about AI being trained on inaccurate, unlicensed, or sensitive data. Its clear that people want greater transparency and accountability from AI developers and organisations using AI.
For businesses, trustworthy data is no longer a nice to have. Strong data quality standards and ethical sourcing are fast becoming essential for responsible AI adoption, regulatory confidence, and long-term trust.
Great to see this topic gaining broader industry focus.
Read the full article, written by Andrew Burnett acting CTO of Milestone Systems, in The AI Journal linked below.