2026-06-14 –, Volksbühne (Saal 4)
AI Safety researcher Justin Shenk will discuss how large language models are reshaping the epistemic infrastructure of democratic societies, and what that means for AI safety, collective sense-making, and the humans navigating both.
As "truth" feels increasingly labile in this time of generative media, algorithmically entrenched biases and accelerating frontier tech, it's our responsibility to rigorously check our belief systems.
Justin Shenk is a Berlin-based AI researcher and runs AI Salon Berlin. His work spans computational neuroscience, machine learning, and the intersection of society and technology. He holds a PhD from the Donders Institute and co-founded computer vision startup VisioLab. He mentors AI safety projects for AI Safety Camp, SPAR and SAIGE, and is a co-mentor for CORDA's inaugural fellowship cohort with Baran Peters, working on increasing accountability of language models in political communication and public epistemics.