Principles & Practice of Online Trust &

What rules and expectations should online platforms such as Google, Meta, X, OpenAI, TikTok, or Uber use to govern themselves? How do technology companies mitigate socio-technical harms stemming from their products? And how should they respond to evolving geopolitical conflicts playing out on their services? This course introduces the emerging field of Trust & Safety: the study of how online platforms are abused and how these systems can cause individual and societal harms, as well as the frameworks and tools used to prevent and mitigate those harms.

Still relatively obscure but increasingly central to public policy and technology governance, Trust & Safety now spans issues including content moderation, disinformation, child safety, algorithmic harm, and state-sponsored influence operations. Students will build foundational knowledge of the field through academic texts, practitioner case studies, and engagement with tools, taxonomies, and governance approaches used in industry. Course topics include detection systems, enforcement methods, moderation tradeoffs, transparency frameworks, red teaming, and regulatory perspectives such as the EU Digital Services Act. Case studies will examine harms across the technological stack, from social media to video games, dating apps, and AI models.

Students will also engage directly with the tensions and practicalities of operating, regulating, or covering these issues in a policy or product environment. The course prepares students to critically evaluate and help shape interventions aimed at digital safety across sectors.