In this age of information overload and AI-generated content, protecting yourself means more than strong passwords—it requires a new kind of digital literacy. This session focuses on how to stay informed (and sane) in a world where the lines between fact, opinion, and fiction are increasingly blurred.
- Deconstruct AI Hallucinations & Bias: Understand why LLMs (Large Language Models) fabricate sources and perpetuate bias. Learn red flags and techniques to quickly verify AI-generated content.
- Develop a Skeptic’s Toolkit: Move beyond a simple “fact-check” and learn practical strategies to vet sources, identify AI-generated content, and recognize the hidden incentives behind the information you find.
- Understand the Data Trade-Off: Explore the connection between your personal data, the content you’re served, and larger systems of extraction. We’ll discuss how to manage your digital footprint to reduce targeted manipulation and how your data is managed and manipulated.
This session is a tactical guide for editors to maintain rigorous standards of truth in an increasingly automated information ecosystem.
Presenter
Emily Faubert (she/they | elle/iel) is a freelance editor and founder of M.L.E. Style Editing. With a background in journalism and community justice movements, they are a PhD student at the University of Toronto’s Faculty of Information. Her research explores how “access” is weaponized in tech to exploit disabled users as data while simultaneously eroding labour and inclusion. Emily’s work sits at the intersection of information politics, media ethics and collective resistance.