Symposium Overview
Within the AISB 2026 Convention, the University of Sussex Business School and the AI in Media Institute are delighted to invite you to a symposium on the use of Generative AI in marketing. The starting point for this symposium is the following provocative question: Is AI a friend or foe for marketing professionals? This symposium is designed to enable dialogue between scholars and practitioners at the forefront of AI deployment in marketing. To foster this dialogue, we invite submissions at the intersections of AI governance, marketing strategy, consumer behaviour, and ethics.
The symposium will have the following structure:
Poster sessions will run in parallel to MarTech industry demos to enable further exchanges between marketing academics and practitioners. The organising committee is working with several partners to finalise the programme, to be shared on this page.
Academic Chair: Mariachiara Restuccia, Associate professor in Marketing, USBS
Deputy Chair: Fulya Acikgoz, Assistant professor in Marketing, USBS
Co-organiser: Hugo Riley, Executive Director, Artificial Intelligence in Media Institute
For any information please contact m.restuccia@sussex.ac.uk
The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) is the largest Artificial Intelligence society in the United Kingdom. The AISB Convention is a flourishing annual conference that thrives from an interdisciplinary audience and facilitates discourse amongst a diverse set of researchers and research cultures. The 2026 convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) will be held as an in-person only event on 1st and 2nd July 2026 at the University of Sussex.
AI Media Institute is a cross-sector organisation focused on the practical application of responsible AI across media and creative industries. We work with industry, policymakers, and universities to translate AI governance principles into real-world guidance for journalism, advertising, publishing, and content production. Our work centres on media literacy, risk, trust, and implementation, ensuring AI adoption supports public interest, creative integrity, and accountability.