Esomar launches AI Alliance for responsible AI in research and insights

Esomar on July 22, 2026 launched a global AI Alliance to develop guidance, standards and best practices for responsible AI in the data, research and insights industry. The initiative aims to protect trust, transparency and quality as AI reshapes how insights are generated and used.

Why it matters: - The data, research and insights industry is facing faster AI adoption and new questions around trust, transparency, quality and ethics. - Esomar wants the sector to help set the standards for responsible AI before bad practices erode credibility. - The Alliance is designed to turn AI from a risk into a governed tool for research and insight work.

What happened: - Esomar announced the launch of the Esomar AI Alliance on July 22, 2026. - The global initiative is based in Amsterdam and focuses on responsible AI for the data and insights industry. - The Alliance expands Esomar’s existing AI Taskforce into a broader program for practical guidance, educational resources and industry standards. - Esomar said the launch reflects AI as one of the two strategic pillars in its long-term vision. - The organization said the Alliance will help lead the ethical use of AI while supporting the standards that keep insights credible and trusted.

The details: - The Alliance will bring together researchers, client organizations, technology providers, academics and business leaders. - The group will develop practical guidance and share expertise across the profession. - The Alliance is built around three workstreams: - Ethics, Code and Quality will focus on responsible AI research standards, including alignment with the ICC/Esomar Code and principles for transparency, consent, bias, governance and quality. - Thought Leadership and Best Practice will produce industry intelligence, member briefs, practical resources and other trusted AI insight outputs. - Events, Training and Awards will build member capability by embedding AI into events, awards and training, plus best-practice modules meant to turn learning into action. - The initiative launches with a core group of contributors and advisors from the global insights profession. - Esomar plans to expand participation to experts in AI, data science, marketing, technology and public policy. - Initial resources will include an AI glossary. - Esomar will also release updated guidance based on 20 Questions to Help Buyers of AI-Based Services. - Educational content will cover AI governance, quality standards, synthetic data, digital twins and other emerging applications. - Esomar plans events and community discussions to support development and adoption of the new resources. - The Alliance will be formally introduced during Esomar Congress 2026. - Attendees will be able to learn about the first workstreams, contribute ideas and join future activities. - Esomar says the Alliance is meant to create a trusted space where the industry and its partners can work together on what matters, what works and what comes next.

Between the lines: - The launch signals that Esomar wants to be more than a standards body reacting to AI. - The organization is trying to shape the market’s norms around responsible use, not just publish guidance after practices have spread. - The emphasis on education, events and community input suggests Esomar is betting that adoption will be driven by practical tools, not only policy statements. - The focus on human judgment and evidence-based practice shows an effort to position AI as a supplement to, not a replacement for, professional research standards.

What's next: - Esomar will continue building out the Alliance’s contributor network. - New guidance, glossary content and educational materials are expected to roll out first. - Congress 2026 will serve as the Alliance’s first public showcase and feedback point. - Esomar expects the initiative to help the industry move from uncertainty to action as AI use expands.

The bottom line: - Esomar is trying to establish a global rulebook and community for responsible AI in research before the industry’s next wave of adoption hardens into standard practice.