The British Standards Institute (BSI) has published the world’s first international standard for how audit bodies must operate when certifying AI management systems, establishing a new global benchmark for the ethical and accountable deployment of AI systems.
The announcement comes amid growing concerns about unchecked AI adoption and rising calls for government oversight.
Launching July 31, it plugs a critical gap helping to prevent a “wild west” of uneven and unreliable AI audits in a rapidly expanding market where oversight is often lacking and risks to privacy, data integrity, and compliance are mounting.
By setting rigorous criteria for assessing the quality and governance of AI audits, BSI seeks to ensure that both public and private sector organisations can trust the systems they deploy.
As adoption of AI tools accelerates across sectors, many firms remain unsure about how to manage risk, especially when it comes to third-party AI tools and data sharing.
Experts say the BSI’s global standard is a critical step in defining what safe and responsible AI should look like, ensuring that AI audits evaluate fairness, safety, bias, and reliability transparently and rigorously.
Arkadiy Ukolov, co-founder and CEO at Ulla Technology Ltd, commented: “The UK is crying out for AI oversight from government and the regulators to combat the AI wild west that is taking over the business world. Too often, staff are sharing unauthorised data on third-party AI systems, which breaches privacy and compliance protocols, exposing confidential information.”
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“For AI to be truly fit for purpose, it must be built on privacy-first foundations, where data remains under the user’s control and is processed securely within an enclosed environment. This must be supported by robust governance frameworks to ensure ethical and safe AI usage, protecting data at all stages.”
The new standard supports the UK’s efforts to position itself as a global leader in responsible AI development by continuing to work on AI regulation.
As generative AI becomes embedded in day-to-day operations, organisations are being urged to proactively assess the AI tools they use, not just for performance, but for auditability, data governance, and long-term accountability, leaving a clear message from regulators that AI oversight isn’t optional; it’s the new baseline.





