Would Your Customer Recognise Their AI Self?
What AI Sees and What It Misses
A thought-provoking executive briefing on the AI-generated representations shaping customer, employee and stakeholder decisions and the human truths that fall outside the model.
In partnership with:
Led by: Dr Cecilia Dones
Dr Cecilia Dones is a distinguished AI ethics expert, data strategist, and Chief Data Officer at 3 Standard Deviations, with over 15 years of experience advising Fortune 500 companies
Time, date & format:
2nd December 2026
2 PM - 3PM BST
Online & Interactive Briefing on Zoom
Digital agenda:
2:00 pm Intro & Welcome
2:10 pm Keynote
2:45 pm Q&A
2:55 pm Close
About the event
Organisations have always relied on representations to understand people, customer segments, personas, survey responses, behavioural data, risk scores and predictive models.
AI is taking this much further.
Today, organisations can create synthetic customers, simulated audiences, AI personas and digital twins, while using increasingly sophisticated models to predict what people want, think and do.
But there is a critical question leaders need to ask:
When an AI-generated representation starts influencing a strategic decision, how closely does it actually resemble the person it claims to represent?
A predicted preference can start being treated as a customer need. A behavioural signal can start being interpreted as an intention. A synthetic response can make its way into a strategy presentation as evidence.
The more convincing these representations become, the easier it is to forget what they actually are — and what they are not.
In this session, Dr Cecilia Dones explores the journey from human experience → data → AI-generated inference → organisational action, and introduces the concept of the human remainder: the dimensions of human experience that sit outside the model.
Because what the model cannot see may be just as important as what it can.
Who Should Attend
◆ Chief Marketing, Customer, Data, Insights, Strategy, Communications, Innovation and Human Resources Officers
◆ VPs and Directors of Consumer Insights, Customer Experience, Brand Strategy, Analytics, Product, Research and Organisational Transformation
◆ Senior practitioners working with personalisation, segmentation, customer research, predictive analytics, synthetic audiences or employee analytics
◆ Leaders in data-rich sectors including consumer goods, retail, luxury, financial services, technology, media, advertising, professional services and healthcare
About Your Speaker
Dr Cecilia Dones
AI, Human Insight & Decision Systems Expert
Dr Cecilia Dones works at the intersection of AI, data, human behaviour and organisational decision-making.
With more than 15 years of experience across industry and academia, Cecilia has advised and worked with leading organisations across sectors including FMCG, financial services, telecommunications and pharmaceuticals.
Her work explores what happens when organisations increasingly understand customers, employees and stakeholders through data- and AI-generated representations — and how leaders can ensure those representations support better, more human decisions.
Cecilia brings together expertise in statistics, marketing, behavioural science, strategic communication and digitally mediated trust. She lectures at Columbia University and NYU.
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This event is limited to 15-20 spaces.
Register now to secure your place.
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What Guests Will Take Away
✅A clearer understanding of AI-generated representations — what synthetic customers, AI personas, digital twins and predictive models can and cannot tell you.
✅The Customer Mirror framework — a practical four-step approach: Reflect, Read, Respond, Reconnect, which can be applied to customer, employee and stakeholder intelligence.
✅A way to distinguish fact from inference — separating human experience, source data, model-generated inference and organisational interpretation.
✅Three questions to bring into every AI-supported decision:
– What can this representation help us understand?
– How will it shape our decisions?
– What does it invite us to discover next?
✅A sharper way to evaluate AI proxies using three tests: fidelity, purpose and consequence.
✅A richer approach to understanding people that combines AI and computational inference with quantitative evidence, qualitative research and direct human engagement.