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AI Assurance Conference

19 May 2025, Chartered Accountants’ Hall

Join our inaugural AI Assurance Conference bringing together key industry players including assurance providers, businesses, policy makers, and academics to explore the role of AI Assurance in promoting responsible AI adoption and innovation.

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Highlights

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Build your knowledge

Explore the real world meaning of AI Assurance, including misconceptions and expectation gaps

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Expand your network

Engage with policy makers, regulators, assurance providers and fellow accountants in shaping the future of AI Assurance.

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Gain practical insights

Hear practical advice and tips from experts on providing and getting AI Assurance services, and on auditing clients who are using AI.

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Navigate Complexities

Discover the challenges associated with assuring foundation models and potential ways to address them.

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Skills development

Participate in discussions about the types of skills needed for AI Assurance professionals, and how to develop them.

Programme

Please note that the programme is subject to change.

Registration
09:00
Welcome
09:30
Opening keynote
09:35
What is AI Assurance?
The term "AI Assurance" is used in many ways to mean different things, often leading to confusion and miscommunication. This session will provide a brief introduction to the topic, followed by a panel discussion with key players discussing their practical experience of providing and buying assurance, including their understanding of assurance, scope of work, limitations, and expectation gaps.
09:45
Practical case studies - assurance as an enabler of responsible adoption
The potential for AI to improve efficiency and accelerate business growth is well recognised. However, adoption has been slowed down by concerns around the risks presented by AI including lack of transparency and explainability of models, bias, and accountability. This session will discuss current assurance mechanisms, and to what extent they can demonstrate mitigation of these risks, including hearing from two businesses who have used AI Assurance to accelerate their organisation's responsible adoption.
10:30
Break
11:15
Debate - regulation as a driver for demand
Is regulation necessary to facilitate AI Assurance and responsible adoption? This session will debate the pros and cons of regulation as a driver for demand of assurance services, considering the EU, UK and US environments, with contributors arguing both for and against regulation.
11:35
Getting started with AI Assurance
The AI Assurance industry presents new business opportunities, with the UK Department for Science Innovation and Technology has projected that the UK assurance market, could move beyond £6.53bn by 2035. Accounting firms are already becoming key players in this area. This session will discuss considerations for accountants and businesses looking to expand their services into this new area, with recommendations on how to get started.
12:15
Lunch
12:45
Preparing for EU AI Act Conformity Assessments
The EU AI Act requires conformity assessments for High-Risk AI Systems (HRAIS). This session will bring together businesses, consultants and assurers to discuss requirements for businesses, challenges identified, and lessons learned so far in preparing for these assessments.
13:45
Financial Audits of clients using AI
More and more audit clients are beginning to incorporate Generative AI into internal processes, including in financial reporting. The complexity of Generative AI can present risks that challenge the way auditors have traditionally conducted audits. This session will use a couple of case studies to explore the considerations for auditing a client who has embedded generative AI into their financial processes, and the types of activities that may be considered as part of the audit.
14:15
Break
15:00
Getting assurance over foundation models
Third party foundation models underpin the majority of AI tools used by businesses. However, getting assurance over such models can be difficult, with challenges including not having access to necessary information. This session will explore options for assurance of such models, including how to address challenges, the work of the newly renamed UK AI Security Institute, and the potential to leverage third party reports
15:20
Developing the skills for AI Assurance
With so many different types of AI assurance activities, what are the vital skills for AI Assurance? How can the UK build such skills and what should business be doing? This panel will discuss these topics, as well as the practical considerations for the development of an AI Assurance profession.
16:00
Closing remarks
16:40
Networking drinks
16:50
Event close
18:00

Our speakers

More speakers to be announced

Malcolm Bacchus
Malcolm Bacchus ICAEW President

Malcolm qualified as an ICAEW Chartered Accountant in 1981. He joined the ICAEW Council in 2005 and was elected President in 2024. He has worked in industry for the majority of his professional life, mainly as CFO of AIM-listed companies, across a wide range of sectors including property, childcare, mining, manufacturing, telecommunications, and construction. Amongst many other committee roles across ICAEW and its London District Society, he served as a member of the ICAEW Ethics Standards Committee from 2015 and was its Chair from 2018 to 2022. He is currently a member of HMRC's Administrative Burdens Advisory Board and of the Court of the Worshipful Company of Chartered Accountants in England and Wales.

Emily Campbell-Ratcliffe
Emily Campbell-Ratcliffe Head of AI Adoption, Governance and Skills, Department for Science, Innovation and Technology

Emily works to support the implementation of DSIT’s AI Opportunities Action Plan and unlock the opportunities of AI across the economy, whilst ensuring any associated risks are managed through the development of an ethical, trustworthy, and effective AI assurance ecosystem – a key pillar of the UK’s AI governance framework. She represents the UK at the OECD’s Working Party on AI Governance, and is also part of the OECD.AI network of experts, contributing to their Expert Groups on AI Risk & Accountability and Compute & Climate. Last year Emily was named as one of the Government AI 100.

Piers Clinton-Tarestad
Piers Clinton-Tarestad Partner, Technology Risk, EY

Piers is a Technology Risk Partner at EY focusing on emerging technologies. He has been working on AI Assurance since 2017 when he co-developed EY’s initial global approach and has overseen delivery of a significant number of reviews and regulatory readiness projects at a number of clients (including EY). He is a FCA, CISSP, MBA and has served on a number of boards and Audit Committees including previously both on the ICAEW Technical Faculty and as Vice-Chair of the ICAEW Audit Committee. 

Tim Gordon headshot
Tim Gordon Co-founder, Best Practice AI

Tim co-founded Best Practice AI to educate and advise on AI strategy and governance. BPAI published the world’s largest directory of AI use cases, have worked with the World Economic Forum on their first AI Board Leadership Toolkit and co-produced the world’s first AI Explainability Statements under GDPR. Tim also co-founded Salus AI which uses AI for sales compliance checking. He has worked at the Boston Consulting Group, served on the board of a private equity-backed business, advised the Deputy Prime Minister of the UK and is a Trustee at Full Fact.

gareth james
Gareth James Assurance Partner, EY

Gareth leads EY's UK Data & Intelligence Delivery CoE, comprising over 200 team members who specialise in supplying the data, technology and innovation needs of EY’s audit and assurance engagements. Working with data of any size from any system, the team encounters, deploys and innovates with emerging technologies, including AI. EY itself uses AI extensively, integrated into global platforms, embedded in discrete tools and as everyday working life CoPilots. EY’s Responsible AI Framework governs this deployment as well as being the backbone to EY’s audit response to companies using AI. Gareth lives in Yorkshire with his family, enjoying time outside work supporting local and national charities and digitally detoxing in the Dales.

rachel kirkahm
Rachel Kirkham Senior VP, AI & Product, MindBridge

Rachel is responsible for leading our product strategy, data science work and our risk scoring approach. Prior to joining MindBridge, Rachel was the Head of Data Analytics Research at the UK National Audit Office, leading a team of data scientists and analysts in developing unique data analytics capabilities for financial audit. Rachel is an ACA-qualified chartered accountant and holds an MBA from Imperial College.

Profile image of Esther Mallowah
Esther Mallowah Head of Tech Policy, ICAEW

Esther influences Technology policy to enable businesses, accountants and society to harness its benefits while limiting harm. Prior to joining ICAEW, she worked in technology internal and external audit roles, focussing on information and cyber security and operational resilience. She is also a qualified ICAEW Chartered Accountant, qualifying whilst at Deloitte.

Tim McGarr
Tim McGarr AI Market Development Lead (Regulatory Services), BSI Group

Tim McGarr is the AI Market Development Lead in BSI Regulatory Services responsible for understanding new AI markets and developing AI services, including ISO/IEC 42001 certification and services related to the EU AI Act. Prior to this Tim was the Sector Lead for the Digital area within Knowledge Solutions in BSI. Tim has been working at BSI since 2009. Prior to BSI, Tim he spent 5 years working in the legal publisher LexisNexis in the strategy department. Before this, Tim he worked as a management consultant. Tim has an MBA from HEC in Paris, France.

Pauline Norstrom
Pauline Norstrom Founder and CEO, Anekanta®AI and Anekanta®Consulting

Pauline is the CEO of Anekanta®AI and Anekanta®Consulting, which provide AI strategy, literacy and governance services aligned with the requirements of the EU AI Act and international pending regulations. The Company operates across sectors including facilities management, security, transportation, aviation, retail, and education. She previously held executive board roles in large international industrial video and high-risk AI technology companies. As leader in Responsible AI Pauline has driven good practice for over 20 years; recently focused on facial recognition guidance, standards and regulation, also AI policy and governance frameworks for Directors.

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