Using High-Risk AI in the UK: How to Integrate BS 9347 into Your ISO 42001 AI Management System

A case study to illustrate how different sector and technology standards dovetail with ISO/IEC 42001

AI Assurance Market Opportunities Recognised by UK Government in New Report

At Anekanta®AI, we are thrilled to see the growing acknowledgment of the vibrant AI assurance ecosystem in the UK

AI Assurance for Facial Recognition developed by Anekanta® featured in UK Government Portfolio

Our pioneering work in AI assurance has been recognised by the UK Government Responsible Technology Adoption Unit. Our AI assurance for facial recognition case study has been featured in the prestigious Portfolio of AI Assurance Techniques.

Shaping the future of Responsible AI – an essential guide for business leaders

In a recent podcast hosted by Sci-Tech Daresbury, Pauline Norstrom, founder of Anekanta®AI, joined experts from IBM and the Science and Technology Facilities Council (STFC) to explore the future of Responsible AI. The participants provided valuable insights on leadership readiness in an AI-driven world.

Harness the benefits and mitigate AI risk: how industry can strike the right balance

In this article Anekanta® provides a range of insights into the AI risk considerations which need to accompany AI opportunity decisions. We discuss the challenges arising when identifying AI systems in use, and explain the complexity of AI risk and more.

The EU AI Act is in force – how will industry prepare for its requirements?

The EU have legislated to address the evidence of AI harms experienced in Europe, such as self-learning discrimination revealed by Amnesty International in their report 'Xenophobic Machines' - through a flexible framework which reduces the risk of harms occurring in the future while stimulating innovation. Find out what the new regulations mean for industry.

Anekanta®AI featured in UK Government AI Assurance Portfolio

The Anekanta® AI, AI Risk Intelligence System™ for biometric and high-risk AI supports organisations to build consistency into their governance processes. The system leads to the creation of a new comparable data set about the AI, which can be analysed to reach conclusions about the impact and risks associated with using certain types of software.