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Ethical AI Compass Video Series
Tune in to our live speaker series, where we speak with leading voices in law, policy, technology, and finance on the ethical dimensions of AI and other emerging technologies.
Each candid conversation brings together perspectives that no single discipline offers alone.
AI Tools, Not Gods
With Caroline de Cock
Caroline De Cock, LL.M. is one of Europe's leading technology policy strategists, with over twenty years of experience shaping AI governance across Europe and globally. Head of Research at Information Labs, Senior Fellow at the Lisbon Council, and Founder of Square-up Agency, her work sits at the intersection of AI governance, geopolitics, digital rights, and public discourse.
In this conversation with Tatiana Caldas-Löttiger, Caroline draws on her forthcoming book, AI Tools, Not Gods: Why Artificial Intelligence Hype Threatens Global Governance and How to Fix It, to examine how narratives and strategic framing shape AI policymaking, and why evidence-based governance is essential for trustworthy, human-centric AI.
Topics include the future of AI governance in Europe, AI in an increasingly geopolitical world, and how better public discourse can strengthen democratic and inclusive AI frameworks.
AI and vulnerability within the financial services
With Vanessa Riboloni
Vanessa Riboloni, Head of Research and Insight at the Chartered Insurance Institute (CII), joins IWIB4AI for a conversation on AI and vulnerability in financial services.
As AI adoption accelerates across insurance and financial services, firms are increasingly turning to technology to identify and support customers in vulnerable circumstances.
Drawing on findings from a CII roundtable bringing together regulatory, ethics, technology, and lived experience perspectives, this conversation examines whether AI delivers on that promise, and what responsible implementation actually requires.
Topics include how AI is being used to identify vulnerability, the ethical tensions around transparency and consent, what good governance and outcome monitoring looks like in practice, and why AI without the right data infrastructure is a recipe for failure.