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 Chairs’ 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 AI Latest 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 communicate the impact of legislation on the use of AI in employee’s 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
