Engineering Trustworthy AI : From Concept to Reality

Name: Engineering Trustworthy AI : From Concept to Reality
Start: 2025-02-25T09:30:00+00:00
End: 2025-02-25T16:00:00+00:00
Location: Bletchley Park

February 25 @ 9:30 am - 4:00 pm

Find out more and register

Don’t miss this essential insightful event for AI professionals at the iconic Bletchley Park, that delves deep into the latest developments, principles, tools and challenges when engineering Trustworthy AI systems.

• Practical approaches to building the foundations of trust
• Overcoming the challenges of dimensionality
• Examples of tools, techniques and use-cases to provide assurance and integrity

In addition to this update on the state-of-the-art, attendees will have an exclusive opportunity to visit Bletchley Park’s NEW AI Exhibit, tracing the development of AI technology from the cracking of Enigma codes to the present day.

Find out more - https://bletchleypark.org.uk/event/the-age-of-ai/?dm_i=52HE,15JK2,OWQMS,4PX1F,1

NOTE : This is a business event so please only register with your BUSINESS EMAIL ADDRESS. Using generic email addresses will forfeit your ticket for this event.

Visit the registration page for more details including the agenda.

09:30	Registration
10:00	Opening address/overview, what’s new in 2025 for TechWorks-AI - Gareth Richards, TechWorks
10:10	The Foundations of Engineering Trustworthiness in AI systems - Dr Nick Allott, NquiringMinds
10:40	Best Practices for AI systems - Dr William Jones, Embecosm
11:00	Break
11:30	Model Cards, how they work and how to improve them - Max Greenwood, AI Governance Policy Advisor, Department of Science, Innovation & Technology
11:50	The Fundamentals – Hardware for AI systems - James Lewis, CEO, RED Semiconductor
12:20	Adversarial Attacks on Enterprise AI - Dima Nekrasov, Senior Technical Program Manager, Amazon
12:45	TBC - Nick Sinnott, Head of AI Centre of Domain Expertise, BAE Systems Digital Intelligence
13:00	Lunch
14:00	Preserving the past with AI - David Rogers MBE, CEO Copper Horse
14:25	Trust and TAIBOM - Prof Andrew Martin, University of Oxford
14:35	AI: From matchboxes to Nobel Prizes - Dr. Steve Moyle
14:55	Interoperability is the key - Helen Oakley, Director of Secure Software Supply Chains and Secure Development, SAP
15:15	Closing remarks followed by optional visit to AI Exhibit in Block B
15:25	Networking then Close

Speakers

Helen Oakley, Director of Secure Software Supply Chains and Secure Development, SAP

Helen Oakley, CISSP, GPCS, GSTRT, is a prominent leader in cybersecurity and AI transparency. She co-leads CISA.gov AI SBOM working group and contributes to pivotal initiatives like OWASPAI.org Agentic AI Security, evolving frameworks and best practices for AI security and transparency.

As the Director of Secure Software Supply Chains and Secure Development at SAP’s Global Security and Cloud Compliance, Helen champions security-by-design practices across engineering teams.

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A Founding Partner of the AI Integrity and Safe Use Foundation (AISUF.org) and co-founder of LeadingCyberLadies.com, she is a trusted advisor to cybersecurity startups and a respected speaker at industry-defining events like RSA and BlackHat. Recognized among the Top 20 Canadian Women in Cybersecurity, Helen’s work focuses on advancing the future of secure AI ecosystems through thought leadership, innovation, and actionable solutions.

Abstract

In a global marketplace increasingly reliant on AI-driven systems, interoperability is essential for seamless collaboration and integration across borders. At the core of achieving this is AI transparency – the ability to provide clear, consistent insights into AI models, their data, and decision-making processes. This session explores how transparency fosters trust and compatibility, enabling diverse AI systems to work together while addressing challenges such as regulatory compliance, ethical alignment, secure integration, and software supply chain security. Attendees will gain practical insights into how transparency serves as the foundation for building a cohesive, secure, and interoperable global AI ecosystem.

Dima Nekrasov, Senior Technical Program Manager, Amazon

Dima solves data availability challenges for AI product development at Amazon, ensuring that data supply is robust, scalable, and aligned with customer needs, business goals, product requirements, and compliance standards across security, legal, and privacy. He leads data engineering and applied science programs aimed at sourcing and delivering petabyte-scale datasets, empowering Computer Vision algorithms for the world’s most popular security cameras and smart doorbells. He is also passionate about enterprise knowledge management and collaboration solutions that drive productivity and improve work satisfaction for tech and business teams.

Abstract

Adversarial Attacks on Enterprise AI: The rise of agentic AI is transforming enterprise operations but has also introduced new attack vectors that exploit the interconnectedness and autonomy of the agents. This presentation explores adversarial attacks on enterprise AI ecosystems and offers strategies to balance innovation with resilience

Max Greenwood, AI Governance Policy Advisor, Department of Science, Innovation & Technology

Max is an AI governance policy advisor and product manager in the Department for Science, Innovation and Technology. He leads the department's research and development of AI assurance products, including Model Cards Plus. Max holds a Masters degree in Artificial Intelligence and has experience working in early-stage tech ventures.

Abstract

Model Cards, how they work and how to improve them AI supply chain transparency is essential for ensuring the responsible adoption of AI systems. In this talk, Max will provide a policy perspective of the challenges involved in AI transparency and introduce Model Cards Plus: an information capture and communication product that sits within DSIT’s AI Assurance programme.

Dr Nick Allott, CEO, NquiringMinds

NquiringMinds develops two products: TDX Cloud (Trusted Data Exchange) a cloud based data sharing and analytics platform and TDX Edge a highly secure edge based analytics platform. NQM has won numerous industry awards for its innovative use of AI and security technologies

Nick has held number or executive positions in FastMobile, Motorola, Shell, and the Pearson Group. He has a PhD in Artificial Intelligence.

Dr William Jones, AI Lead, Embecosm

Dr William Jones is the AI Lead at Embecosm, a specialist UK Tech consultancy.

Williams background is in computational neuroscience, focused on quantitative methods in consciousness, cognition and metacognition. In his current role at Embecosm, as well as working as an engineer, he leads work on the Techworks best practices guide, and is active as an industrial supervisor for students at several universities. His current work focuses on Bayesian methods, Large Language models, and AI compilers

Abstract

Best Practices in AI: Over the last 2 years Techworks has been developing its Best Practices in AI guide in collaboration with a diverse set of contributors. With the UK government recently publishing the next phase of its AI strategy, this guide is becoming increasingly relevant: a critical part of the government’s plan is an “AI Knowledge Hub” focused on best-practice guidance, results, case-studies and open-source solutions.

David Rogers MBE, CEO Copper Horse

David is a mobile telecoms and security specialist who runs Copper Horse Ltd, a software and security company based in Windsor, UK. His company is currently focusing on research for AI model security, product security for the Internet of Things as well as future automotive cyber security. David chairs the Fraud and Security Group at the GSMA.

Abstract

Preserving the Past with AI The deliberate manipulation and distortion of history has been a persistent problem – from Dictators through to school books. The importance of preserving the source of truth is therefore paramount. The increasing use of AI in all aspects of society, including the humanities means that there is an unfulfilled requirement to assure all aspects of the toolchain of AI, from the provenance of datasets to how inference software functions. There are many considerations and challenges in the historical document space, recognising that the original documents may also be a distortion of reality or even forgeries. Add to this the fact that many historical texts have not been read for a very long time. Many other texts remain undeciphered and the knowledge of some ancient languages such as Linear A has disappeared. Can this new era of AI preserve our past and reveal previously unknown information? Will automated interpretations be accurate? David Rogers will show the work his team has conducted, with AI tools which Copper Horse has created, on reading early modern shorthand. ‘Short writing’ was used for stenography and also for secret writing. It was used by Sir Isaac Newton, Samuel Pepys and Thomas Jefferson amongst many other famous historical figures. David will also demonstrate how, without protection, these AI systems can be attacked and how history can be misrepresented and changed.

Prof Andrew Martin, University of Oxford

Andrew Martin is Professor of Systems Security in the Department of Computer Science at the University of Oxford. His main interest is in how hardware-software co-design can enhance the security of networked distributed systems. He has also led a range of cross-disciplinary efforts across the University and beyond – with a particular interest in how human factors can enhance or confound the best security technologies. He thinks that the key to progress is strong rigorous foundations, mixed with a great degree of pragmatism.

Dr. Steve Moyle

Steve Moyle was at Tony Sale’s early fundraising dinner events to save Bletchley Park from housing development and was privileged to hear after dinner speakers who were significant WWII code breakers – Peter Hilton, and John Herivel.

Steve worked alongside another of Bletchley cryptanalysts, Turing Institute founder Donald Michie – as a graduate student in Oxford.

Steve has a degree in Chemical Engineering from the University of Adelaide and after a short career in heavy industry went on to earn a doctorate in symbolic machine learning from Oxford University, founding the database security company Secerno, later acquired by Oracle Corporation.

He continues to explore ideas in machine learning, cybersecurity, and AI.

Abstract

AI: From matchboxes to Nobel Prizes: The seeds of modern Artificial Intelligence germinated within walking distance of Bletchley Park, in the pub nearby, over games of chess during scarce downtime amidst the furious codebreaking activity of WWII. Alan Turing and Donald Michie (BP’s youngest cryptanalyst) discussed Machine Intelligence (which was what the Brits called AI) as a consequence of mechanised computation. Turing, and his successes breaking Enigma with the Bombe, went on to work in nascent computing, and philosophised about a Thinking Machine and its imitation of humans. Michie, a member of the Collossus team, leaves computing for more than a decade before returning to be one of the primary founders of British AI research. Some of their very simple ideas can be traced from Michie’s mechanical machine learning system – made from matchboxes – that quickly learns to play noughts-and-crosses/tic-tac-toe, through to the entirely digital Alpha-Fold that learned to predict the 3D-folded shape of human proteins – and had its inventor awarded a Nobel Prize. This short talk by Dr Steve Moyle, who had the good fortune to work with Donald, will sketch some of this important history.

James Lewis, RED Semiconductor

James Lewis is the CEO of AI chip startup, RED Semiconductor International Ltd. A University of London graduate in Electronic Engineering, James was the founder of Oxford Semiconductor and Redux, both companies innovating new semiconductor solutions to meet demanding market needs. He is adept at recognising customer-specific and market-generic needs, leading the development of chip solutions to meet those needs, and interacting with customers globally to win designs and close high-value orders.

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He has extensive semiconductor supply chain experience working with worldwide semiconductor manufacturers and is a member of the IoT Security Foundation and MIET (Member of the Institution of Engineering and Technology). James has experience of starting, building and exiting hi-tech companies both in the UK and USA, delivering great returns for early-stage investors.

Nick Sinnott, Head of the AI Centre of Domain Expertise for Digital Intelligence, BAE Systems Digital Intelligence

Nick has significant experience delivering: Business & Technical change, advanced technology innovation as well as AI leadership, AI advisory expertise in Government and other sectors. Nick has 28 years key domain expertise covering C4ISR, AI Ethics, AI Assurance, AI Governance, AI Strategy and AI Strategic Capability Development.

Gareth Richards, AI Network Manager, TechWorks-AI

Gareth is a Member of the Institution of Engineering and Technology (MIET) and holds a B.Sc. (Eng) in Electronics and Computer Systems from King’s College, University of London. He has over thirty years of experience in the development of highly secure electronic transaction and cyber security solutions, including TRSMs and PIN Encrypting Devices.

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He was also responsible for the development of a range of assistive technology devices accredited by the RNIB and other disability organisations, which enable inclusive use of devices such as self-checkout and kiosk ordering systems and is the inventor of 4 granted patents covering voice and data encryption, smartcard data integrity verification & tamper responsive systems.

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Engineering Trustworthy AI : From Concept to Reality

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