Join us online on 24 April, to hear more from the Alan Turing Institute's Centre for Emerging Technology and Security and industry experts on the topic of AI in national security.
National security bodies face a significant challenge when assessing the risks of AI systems designed in-house. This challenge becomes even harder when AI systems are designed by industry. Research from the Centre for Emerging Technology and Security (CETaS) proposes a framework for AI assurance that is tailored to the specific challenges facing national security bodies and their suppliers.
Involving industry in the design and development of AI is essential if UK national security bodies want to keep pace with cutting-edge capabilities. However, when AI development is outsourced, direct oversight may be reduced, introducing new risks. This research from CETaS introduces a tailored AI assurance framework for UK national security to facilitate robust assessment of whether AI systems meet requirements. The framework centres on a structured system card template for UK national security. This provides guidance on how AI system properties should be documented by AI suppliers and customers - to cover legal, supply chain, performance, security and ethical considerations.
Confirmed speakers:
- Marion Oswald, Senior Research Associate in Safe and Ethical AI, CETaS
- Rosamund, Research Associate, CETaS
- Emily Campbell-Ratcliffe, Head of AI Assurance, Responsible Technology Adoption Unit, Department for Science, Innovation & Technology
- David Green, Director of AI, Adarga
Tess Buckley
Tess Buckley
Tess is the Programme Manager for Digital Ethics and AI Safety at techUK.
Prior to techUK Tess worked as an AI Ethics Analyst, which revolved around the first dataset on Corporate Digital Responsibility (CDR), and then later the development of a large language model focused on answering ESG questions for Chief Sustainability Officers. Alongside other responsibilities, she distributed the dataset on CDR to investors who wanted to further understand the digital risks of their portfolio, she drew narratives and patterns from the data, and collaborate with leading institutes to support academics in AI ethics. She has authored articles for outlets such as ESG Investor, Montreal AI Ethics Institute, The FinTech Times, and Finance Digest. Covered topics like CDR, AI ethics, and tech governance, leveraging company insights to contribute valuable industry perspectives. Tess is Vice Chair of the YNG Technology Group at YPO, an AI Literacy Advisor at Humans for AI, a Trustworthy AI Researcher at Z-Inspection Trustworthy AI Labs and an Ambassador for AboutFace.
Tess holds a MA in Philosophy and AI from Northeastern University London, where she specialised in biotechnologies and ableism, following a BA from McGill University where she joint-majored in International Development and Philosophy, minoring in communications. Tess’s primary research interests include AI literacy, AI music systems, the impact of AI on disability rights and the portrayal of AI in media (narratives). In particular, Tess seeks to operationalise AI ethics and use philosophical principles to make emerging technologies explainable, and ethical.
Outside of work Tess enjoys kickboxing, ballet, crochet and jazz music.
- Email:
- [email protected]
- Website:
- tessbuckley.me
- LinkedIn:
- https://www.linkedin.com/in/tesssbuckley/
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