Vice President and Programme Director in Group Research and Development, leveraging extensive technical and managerial experience across oil & gas, maritime, and renewable energy domains, driven by his passion for integrating technology understanding with practical applications to meet customer needs.
About Dr Pedersen
Frank Børre is currently leading the programme “Digital Assurance” with 40+ researchers in DNV’s research and development department, focusing on research within emerging technologies such as AI. This program has developed the new recommended practice for assurance of AI-enabled systems (DNV-RP-0671), and focuses on digital transformation, autonomous systems, responsible AI, inspection technologies, simulation technologies, emerging digital technologies, and risk.
His primary focus is working with key stakeholders in critical infrastructure industries such as energy and healthcare to develop frameworks and recommended practices for the safe application of AI-enabled systems. His technical and managerial experience across industries including oil & gas, maritime, and renewable energy, combined with developing novel services within enterprise risk management where innovations and co-development with customers was the modus operandi, has positioned him as a leader in driving transformative solutions and fostering collaborative growth. He is frequently invited to speak at various conferences and events to share his knowledge and experience with AI assurance, and has a significant impact on enabling industries to adopt trustworthy AI.
His expertise spans broad and deep insight into AI, digitalisation, technology, risk and uncertainty. Special focus on research, innovations, deployment and value creation.
I am passionate about leading the charge in digital assurance, focusing on the safe and responsible application of AI in critical infrastructure industries. By collaborating with key stakeholders in sectors like energy and healthcare, we develop frameworks and recommended practices that enable the trustworthy adoption of AI, driving innovation and ensuring safety.
Agrell, C., Eldevik, S., Hafver, A., Pedersen, F.B., Stensrud, E. and Huseby, A., 2018. Pitfalls of machine learning for tail events in high risk environments.Proceedings of the 28th International European Safety and Reliability Conference (ESREL 2018), June 17-21, Trondheim, Norway.
