Artificial Intelligence (AI)


Synthetic Data in Practice: From Boosting to Digital Twins

The webinar provides a practical overview of the different ways synthetic data is being applied in market research, from augmenting and enhancing existing datasets through to the growing use of digital twins.
Trust Survey

Ipsos Global Trustworthiness Index 2026

In the seventh edition of the Ipsos Global Trustworthiness Index, AI chatbots, tech entrepreneurs and personal trainers are added to the Index.
Customer Experience Ipsos Voices

How Trust Drives AI Adoption in Customer Experience

New Ipsos research reveals why customer trust and emotional connection are critical to successful AI adoption in customer experience.
Trust Survey

Ipsos - who do Brits trust? Doctors and scientists lead the pack, as for the first time polling reveals “AI chatbots” pips Politicians on trust.

New global polling data from the 2026 Ipsos Global Trustworthiness Index, conducted among over 23,000 adults across 31 countries between 19 June and 3 July 2026, reveals a sharp divide in how the British public perceives the integrity and reliability of different professions.
Customer Experience Ipsos Voices

Why AI Efficiency Alone Isn’t Enough for Great Customer Experience

Ipsos Voices: How efficiency is changing customer experience and why emotional connection remains the true differentiator by Rollo Grayson and Jean-François Damais.

Ipsos Global Trends: Britain's tech anxiety reaches record levels as public scepticism grows

Exclusive preview polling data from the 10th edition of the Ipsos Global Trends survey, set to launch at the end of September 2026, reveals growing anxiety about technology among the British public.
Innovation Publication

Concept Testing with Digital Twins

Humanising AI, part four: How synthetic data accelerates innovation.
Healthcare Survey

New research finds accuracy and oversight are public's top priorities for AI regulation in healthcare

The research, conducted by Ipsos for the Health Foundation, finds that the public sees significant potential benefits from AI in health but prioritises accuracy and oversight over faster adoption.