We have the expertise to help facilitate the safe and secure adoption of AI technologies. Our standards help generate trust and create the acceptance needed for AI to be successful. We're a collaborative body, partnering with organizations through AI implementation.

We have developed on-demand and instructor-led courses that delve into essential topics around published standards for robustness, trustworthiness, and performances of AI systems, as well as bias, risk management, and AI management systems.

Many teams within the BSI are working on the topic of AI by looking at a range of aspects and contexts. This work involves both specific AI systems, such as those used for traffic sign recognition, and general AI methods such as deep neural networks.

With BSI Brains, users can design self-learning AI workflows and configure neural networks. Brains are easy to assemble via flexible drag-and-drop and can implement, for example patient recruitment prognoses, site performance and future defects.

Feb 20, 2024 · Gain insight into AI Machine Learning and Medical Devices today. Machine Learning for Medical Devices (MLMD) has created a level of excitement not seen since the discovery of stem cells over 60 years ago.

Feb 12, 2025 · The webinar provides an overview of how organizations can integrate AI specifications in their existing management systems and create a more comprehensive framework to address security, risk, and ethical considerations of AI in a cohesive manner.

Jan 16, 2025 · This webinar will introduce you to BSI’s AI Algorithm Auditing and Dataset Testing (AA&DT) service.

Key benefits of AI training. Minimize risks and liabilities by learning best practices for AI management; Learn the technical skills required to implement changes and leverage an AI Management System; Gain the expertise needed to unlock …

Explore BSI Group's capabilities in artificial intelligence, including standards and certifications for AI technologies.

9 December 2024 —BSI has been officially recognized by Raad voor Accreditatie (RvA) as an accredited certification body for the international standard on AI management systems, ISO/IEC 42001, as part of its ongoing commitment to building trust in AI.