Real insights into how to avoid the inference trap and stay on the right side of the regulation.
Category: BS 9347:2024
BS 9347 is a code of practice for the ethical use and deployment of facial recognition technology (FRT) in video surveillance. Its purpose is to inform and guide responsible AI decisions when developing, integrating and operating FRT for purposes permitted in UK Law. What’s different about it is that it operationalises the OECD/HLEG principles for a biometrics AI based product which if followed lead to a more trustworthy system. Through suitable controls and management policies to govern its use with defined accountabilities throughout the value chain, Anekanta® guides organisations through the standard, resulting in a more responsible implementation with reduced risk.
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 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.
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.
AI in Employment: Navigating Regulations and Anti-Bias Standards
Responsible AI in employment: an analysis of the UK's Information Commissioner (ICO) recent facial recognition technology (FRT) - time and attendance ruling and your next steps
Showcasing Anekanta®’s Leadership in High-risk AI and Biometrics
Anekanta®AI have developed a number of independent, vendor agnostic ethical AI governance frameworks expertly designed to assess the safety of high-risk AI development and deployment and its impact on stakeholders. Here is the background to our work in this area.
Anekanta® recognised for ethical and responsible AI development and implementation
We are proud to announce the release of a ground breaking new British Standard "Facial recognition technology - Ethical use and deployment in video surveillance-based systems – Code of practice (BS 9347:2024)" Anekanta® Privacy Impact Risk Assessment System™, de-risks FRT use cases anywhere in the world and recommends the new standard for UK mitigation purposes.
‘Rite Aid’ FTC Ruling : AI Facial Recognition and Biometric Software
Here we provide an overview of the Rite Aid FTC judgment from a Responsible AI perspective, and in doing so opine why the judge ruled this way. The algorithmic bias risks, which may previously have been considered hyopthetical, crystallized...Read more
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.
Stakeholder Spotlight: CoESS Annual General Assembly
An exclusive insight into the pioneering AI stakeholder work we undertake with the physical security industry. Driving guidance, standards and regulation of high-risk AI including facial recognition software.
