Conference Agenda

Brief Description and Outline:

How AI research is communicated plays a central role in shaping how AI is understood, trusted, and governed. AI researchers therefore have a unique opportunity to actively contribute to how their work is perceived and discussed beyond the lab. 

Engaging with journalists, policymakers, and interdisciplinary audiences allows researchers to communicate not only technical results, but also the nuances of uncertainty, limitations, and ongoing scientific disagreement.

Developing communication skills strengthens both individual research impact and the field as a whole. This 2-hour workshop introduces core principles of science communication that are broadly applicable across scientific domains, while incorporating AI-specific examples. It equips researchers with practical tools to explain their work clearly to non-expert audiences. 

The workshop is structured around the following themes: why science communication matters, the role of researchers in shaping narratives, core communication skills, and a practical discussion session.

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Goals:

The workshop aims to: Participants will learn evidence-based insights from science communication and media studies about the communication of AI and equip AI researchers with practical tools to communicate their work responsibly to non-exper

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Presenters Experience:

Verena Albrecht is a communication expert at MCML researching public AI communication, with a focus on framing, emotions, and how European AI researchers engage with the public.

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Target Audience:

PhD students, postdocs, and senior researchers working on AI or AI-related topics; no formal background in science communication is required.

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Keywords:

Science Communication, Artificial Intelligence, Responsible AI, Public Engagement, AI Narratives, Trust in AI, Research Impact