A One-Day, Practitioner-Led Conference & Networking Exhibition, One America Square, Central London, 23rd June 2026
Navigate The Latest AI Regulations ■ Ethical AI Usage ■ Data Privacy & Protections ■ Diversity & Inclusion & Bias Mitigation ■ Governance & Compliance Frameworks ■ Sustainability & Energy Usage ■ Effective AI Implementation For Business Value ■ AI Literacy & Training ■ Agentic AI Assurance ■ Macro Challenges – AI In Society
08.15 Registration & Informal Networking
OPENING REMARKS
09.00 GIC Welcome & Morning Chair’s Opening Remarks
Sonia Luthra, Managing Director, UK Data Protection Officer & Head of Legal – Privacy, AI & Data Governance, Societe Generale
Navigating The Latest AI Regulations
09.10 Stay Ahead Of The Latest AI Regulations & Foster Comprehensive Strategies To Implement Regulatory Compliance Across The Organisation
- Reinforce responsible AI implementation by navigating the latest regulatory trends and any implications or consequences for your AI strategies
- With the EU AI Act coming into force, unpack how to align your company approaches with this fast-evolving regulation and embed robust and compliant guardrails to ensure compliance at every level of the company
- Foster a system of streamlined and widespread communications to convey the impact of legislation on the use of AI in employees’ daily tasks across the organisation
- What’s next? With the EU currently leading the way in AI legislation, examine what could be next in the pipeline and how companies can best prepare to respond in an ever-evolving regulatory environment
Jared Browne, Group Head of Privacy & AI Governance, Fexco
Data Privacy & Protections
09.30 Craft Robust & Responsible Data Protection Practices That Enable The Effective Use Of AI While Protecting Privacy & Consumer Trust
- Effectively embed privacy principles into data collection, labelling, model deployment and data analysis
- Develop rigorous and compliant data management processes to ensure the output of AI tools is responsible, usable and ethical
- Safeguard sensitive data by building effective guardrails such as anonymisation and secure data handling that keep AI systems compliant and trustworthy
- Identify effective monitoring techniques and response plans to track the use of sensitive data within AI and minimise risk of misuse
- With concerns about personal data being used within AI platforms, how do you help consumers understand personal data use and maintain consumer trust and brand reputation?
Bethany Singer-Baefsky, Chief Privacy & Data Governance Officer, National Grid
Ethical AI Usage
PANEL Q&A
09.50 Develop Practical Ethical Principles & Embed Them Into Day-To-Day Practices To Ensure Human Judgement & Values Remain Integral To AI Usage
- Define ethical principles for AI and establish organisational values around fairness, accountability and transparency
- Explore how to identify ethical risks, spot potential harms, misuse scenarios and unintended consequences, and develop rigorous monitoring techniques to catch these risks early
- Highlight effective monitoring techniques and apply controls to prevent improper and unethical AI usage
- Embed ethical principles into everyday practices – from integrating ethical principles to training and reviews, uncover the best techniques for making ethical values integral to AI usage
Jennifer Cheung, AI Enablement & Responsible AI Data Scientist, Pandora
Marianne Holding, CDO, Head of Data Engineering & Dev Ops, Santander
Paul McKane, Deputy Head of Ethics & Compliance, Deliveroo
Jared Browne, Group Head of Privacy & AI Governance, Fexco
Joanne Biggadike, Head of Data Governance, Schroders
Ed Towers, Head of AI Strategy Team, Financial Conduct Authority
James Fletcher, Responsible AI Lead, BBC
Catherina Nnamdi, Director – UK & EMEA Regulatory Management, Citi
Governance & Compliance Frameworks
DOUBLE PERSPECTIVE – PERSPECTIVE ONE
10.30 Develop Effective Governance & Compliance Frameworks & Integrate Stringent Guardrails Across Every Level Of The Organisation
- Accountability and accessibility: discover how to effectively develop core AI governance structures such as key roles, responsibilities and oversight models
- How can new governance frameworks be integrated within regulated industries to ensure that rigorous standards of transparency and accountability are embedded top to bottom?
- Translate regulations and policies into practical and actionable frameworks that people can effectively incorporate into their daily functions
Alexis Pagé, Business Ethics Senior Director, Ipsen
10.40 Morning Refreshment Break With Informal Networking
Governance & Compliance Frameworks
DOUBLE PERSPECTIVE – PERSPECTIVE TWO
11.10 Develop Effective Governance & Compliance Frameworks & Integrate Stringent Guardrails Across Every Level Of The Organisation
- Accountability and accessibility: discover how to effectively develop core AI governance structures such as key roles, responsibilities and oversight models
- How can new governance frameworks be integrated within regulated industries to ensure that rigorous standards of transparency and accountability are embedded top to bottom?
- Translate regulations and policies into practical and actionable frameworks that people can effectively incorporate into their daily functions
Ade Bamigboye, Chief Technology Officer, Royal Borough of Kensington and Chelsea
Macro Issues – AI In Society
PANEL Q&A
11.30 Deep-Dive Into The Societal Impacts Of AI Usage & Address The Fundamental Ways AI Is Shaping Human Interactions
- Cut through the noise and tackle the influences of AI usage on human behaviour, ranging from interpersonal abilities and empathy to critical thinking
- Misinformation, Manipulation and Trust: combat misinformation and new threats such as deepfakes in the face of eroding public trust and foster customer confidence in your organisation
- How do organisations expect recruitment and work patterns to change in the face of mass AI adoption? Incorporate AI within your organisation while maintaining employee trust and keeping human judgement and values at the core of the process
Trevor Gordon, Chief Digital & Technology Officer, Save The Children UK
Grigorescu, Senior Technical Lead, Engineering & Automation, Direct Line Group
12.00 Bonus Session With Exclusive Conference Partner
12.15 Lunch & Informal Networking For Speakers, Delegates & Partners
12.45 Interactive Peer-to-Peer Discussion Zones
A) Metrics & Monitoring Techniques
Irina Kamalova, VP Lead Engineer, JPMorgan Chase & Co
13.15 Afternoon Co-Chairs’ Opening Remarks
Antonios Roussos, Head of E&C Global Excellence & Innovation, Astellas Pharma Inc.
Aurora Kapo, AI Strategy Manager, HSBC
Effective AI Implementation For Business Value
SNAPSHOT
13.25 Showcase Successful AI Adoption To Increase Business Efficiencies, Generate ROI & Embed AI Usage Across The Organisation
- Cutting through the noise – discover practical examples of AI implementation that enhance engagement, improve efficiencies and generate ROI
- Build effective and actionable processes for improving AI and scalability across your organisation to meet with business goals and deliver real impact
- How can professionals demystify AI usage for employees and build confidence throughout the organisation?
Henrike Mueller, Manager AI Strategy Team, Financial Conduct Authority
Diversity & Inclusion & Bias Mitigation
PANEL Q&A
13.45 Protecting Equality & D&I In The Age Of AI: Navigate Ethical Concerns & Bias Mitigation To Harness AI With Integrity & Protect Customers & Businesses
- Combat biases entering AI lifecycles and effectively identify and diagnose bias in data models
- Develop inclusive data practices such as responsible data collection and input to ensure accessibility and inclusivity across all functions
- Incorporate diverse voices and domain experts throughout the AI lifecycle to maintain inclusive and accountable systems
- Uncover methods to ensure the development of responsible AI models with cultural and contextual sensitivity that understand variations in language and communication
Krisson Nandha, Head of Operational Excellence, Virgin Red
Joanne Barry, Head of Technology Fraud Prevention COE, NatWest Bank
Emily Campell-Ratcliffe, Head of Private Sector AI Adoption, AI Governance & Skills, Department for Science, Innovation & Technology
Eleni Mavropoulou, Responsible AI Manager, GSK
René Frey, CEO, Rough Guides & Insight Guides
Stephanie Cairns, Senior Data Scientist, AI Risk, OVO Energy
AI Literacy & Training
14.15 Create Comprehensive Upskilling Strategies To Improve AI Literacy & Build Confidence In AI Adoption Throughout The Organisation
- Dispel internal concerns and insecurities about AI adoption by equipping teams with a shared understanding of key terms, capabilities, limitations and risks or AI usage across the business
- Embed fairness, privacy and security considerations into training techniques to ensure that company values are integrated within AI training
- Create continuous learning and upskilling opportunities to maintain employee confidence in using AI responsibly
14.35 Bonus Session With Exclusive Conference Partner
Third-Party Risk Management
PANEL Q&A
14.50 Facilitate Rigorous Monitoring & Robust Relationships With Third Parties To Optimise AI Usage & Develop Effective Processes For Third Party AI Governance
- Break down the best methods for incorporating third-party data models and services into your organisation’s governance and compliance frameworks
- Expand your data privacy frameworks to incorporate third-party risk management related risks and apply rigorous standards on how third parties handle sensitive data
- Implement effective methods for continuous oversight and incident response in third-party risk management to maintain transparency and high standards across the supply chain
- How can organisations foster collaborative and productive relationships with suppliers when managing AI-related risks?
Tej Singh, Business Information Security Officer, Channel 4
Bethany Singer-Baefsky, Chief Privacy & Data Governance Officer, National Grid
Bogdan Grigorescu, Senior Technical Lead, Engineering & Automation, Direct Line Group
15.20 Afternoon Refreshment Break With Informal Networking
Agentic AI Assurance
15.50 Strike The Right Balance Between Effective Agentic AI Usage & Human Judgement To Optimise Processes & Output
- Balance innovation with accountability by integrating human judgement, values and oversight within agentic AI processes and adoption
- Verification and validation: with the potential of agentic AI fast evolving, establish effective performance metrics to monitor the success and quality of agentic AI usage and output
- Develop thorough risk assessments and training models to optimise responsible use of agentic AI
Yasmin Liverpool, Responsible AI, Lloyd’s Banking Group
Sustainability & Energy Usage
16.10 Measure The Environmental Impact of AI & Foster A Proactive Approach To Maintaining Effective Monitoring & Initiatives
- With concerns around the impact of AI platforms on air pollution and water usage, understand the impact of data storage, data centres and model training across the AI supply chain
- How can organisations tackle energy usage concerns and bring sustainability to the forefront of the discussions around responsible AI?
- How do organisations encourage AI scalability while balancing sustainability concerns?
Thierno Diallo, Staff Engineer, AXA
16.30 Afternoon Co-Chairs’ Closing Remarks
Antonios Roussos, Head of E&C Global Excellence & Innovation, Astellas Pharma Inc.
Aurora Kapo, AI Strategy Manager, HSBC
16.40 Official Close Of Conference
