With The Trusted Data and AI Journal, we want each edition to do more than comment on current developments. Our ambition is to create focused editions that bring together research, industry experience, education, and professional practice around themes that matter for the trustworthy use of data and AI.
Each edition should therefore have a clear central theme. This helps us guide contributions, create coherence across articles, and offer readers a meaningful perspective on the challenges and opportunities facing organisations today. The journal should be connected to what is happening in the market, but it should not simply follow the latest hype. Its distinctive role is to look beneath the surface of AI trends and focus on the foundations that make innovation usable, responsible, and sustainable.
Across the market, many organisations have moved beyond initial AI curiosity and are now facing the harder question: how can AI be used responsibly, reliably, and at scale? This edition of The Trusted Data and AI Journal focuses on the shift from pilots and experimentation to governed execution, where data quality, architecture, security, accountability, and operating models become critical. Our aim is to explore how organisations can turn AI ambition into sustainable practice without losing sight of trust, control, and professional responsibility.
Governance, Compliance and Trust
Human oversight: who is accountable when AI acts?
As data and AI continue to evolve rapidly, organisations need to look beyond short-term trends and prepare for the capabilities they will need in the coming year. This edition of The Trusted Data and AI Journal takes a forward-looking perspective on the foundations required for trustworthy data and responsible AI, including governance, skills, compliance, architecture, security, and organisational maturity. Rather than predicting hype, our goal is to help professionals and leaders understand what they should strengthen now to create value with confidence in the future.
