In this webinar, we bring together experts and practitioners to explore how to ensure AI chatbots can be effectively investigated for systemic risks and interventions. The conversation will consider early evidence from platform interventions and what information is needed to inform effective oversight and design.
As conversational AI systems are increasingly incorporated into our interactions on the Web, we have an opportunity to ask whether chatbots must follow the same path as past platforms like social media – or whether deliberate choices about accountability mechanisms, data architectures, data ethics, and user rights could set a different precedent as regulation and risk mitigation mechanisms emerge for these newer technologies.
The harms we have witnessed as a result of social media platforms did not arise solely from the technologies themselves. Rather, these platforms were shaped by intentional design decisions, data practices, and a lack of transparency that left users, researchers, and regulators largely in the dark.
Drawing on lessons from the social media era, our panellists will discuss how mechanisms for transparency, data portability, and researcher access could be built into consumer chatbots from the start, rather than retrofitted after the damage is done.
Speakers
Aurelia Tamò-Larrieux, Full Professor at the University of St. Gallen, leading the chair for Law & Technology and the Legal Design & Code Lab
Aurelia has a background in law and economics and specializes in research at the intersection of law and digital technologies with a particular focus on privacy, data protection, design approaches, transparency of automated decision-making and artificial intelligence, automatically processable regulation, and trust in automation. Aurelia’s scientific publications on those subjects are open access and she has presented her research at numerous international conferences.
Chanell Daniels AIGP CIPP/E, Senior Responsible Innovation Manager at Digital Catapult
Chanell Daniels AIGP CIPP/E is a Senior Responsible Innovation Manager at Digital Catapult, where she leads programmes for the application of ethical, trustworthy and responsible practices with emerging and advanced technologies (including AI, quantum and immersive applications). Prior to this, she led the Community Safety Team at Depop which worked on child online safety, extremism and preparations for online safety regulations, and managed high-risk crisis responses and prevention efforts at Meta. Before joining the tech industry, Chanell worked with the UK Government on consumer protection policy; with the UN on peacekeeping, human rights and governance; and with the EU on environment policy. She has been a Visiting Policy Fellow at the University of Oxford Internet Institute and is a member of the OpenUK AI Advisory Board as well as UK and international committees on AI standards.
Maximilian Milovidov, Youth online safety advocate and sophomore studying Computer Science and Psychology at Columbia University
Maximilian Milovidov is a youth online safety advocate and sophomore studying Computer Science and Psychology at Columbia University. As a founding member of TikTok’s Youth Council, his work spans youth digital wellbeing, online safety, and AI, with a focus on translating young people’s experiences into product and policy. He has spoken on AI and online safety at the United Nations and has been featured by NPR, ITV News, Sky News, and The Wall Street Journal.
Petr Slovak, UKRI Future Leaders Fellow and Reader in Human-Computer Interaction at King's College London
Petr Slovak is a UKRI Future Leaders Fellow and Reader in Human-Computer Interaction at King's College London, with visiting appointments in KCL's Child & Adolescent Psychology department and in Oxford's Experimental Psychology and Human-centred AI groups. His interdisciplinary work bridges user-centred design with clinical and prevention-science frameworks to create mental-health interventions that operate within people's everyday lives, particularly for children, adolescents, and families. He is perhaps best known for Purrble, an interactive emotion-regulation intervention recognised as one of TIME Magazine's Best Inventions of 2021. His group's current work explores how generative AI can scaffold the cognitive processes underpinning mental health. This includes a cross-sector effort to give schools, researchers and policymakers an ongoing, youth-reported evidence base on how generative AI and social media shape young people's wellbeing.
Chair: Dr June Brawner, Head of Research, the ODI
June is an anthropologist of data, studying how societies create knowledge through data, measurement and AI.
Her work explores how data, metrics and classification systems are created; what they make visible, what they leave out, and how these choices shape decisions across science, policy and public life.