About the seminar

This seminar reconceptualizes vulnerability in data-intensive research as enacted through sociotechnical practices rather than as a necessarily fixed property of data subjects. It introduces work towards a reflexive ethics protocol to help researchers identify and navigate how AI-based analyses—even those framed as protective or regulatory—can reproduce the vulnerabilities they aim to mitigate. Delfina will use the case of children/“kidfluencers” in family vlogs as a point of departure for thinking about large-scale, monetized personal data and the paradoxes of using AI-based technologies to analyze it.

Programme

11:00 - 11:30: Presentation 

11:30 - 12:00: Interactive Q&A and discussion 

12:00 - 12:30: Lunch

Registration

The seminar is free and everyone from all disciplines and faculties is welcome to attend. A light vegetarian lunch will be provided to attendees after the seminar. Register now to secure your place!

About the speaker

Delfina is an Assistant Professor of Cultural Data Analysis at the Department of Media Studies and the Institute for Logic, Language, and Computation (ILLC). Delfina emphasizes multimodal and explainable AI methods for analyzing cultural (heritage) data.​ They focus on human-centered and ethical AI, computational cultural analytics, cognitive-inspired visual sensemaking, and more broadly the operationalization of abstract social concepts, such as identity, toxicity, moderation, and surveillance.