AI, Democracy, and Public Discourse

How do generative AI tools change the scale, speed, and believability of misinformation campaigns? What makes some individuals and communities more vulnerable to AI-driven deception than others? How can citizens and journalists verify authenticity when audio, images, and video can be fabricated? What responsibilities do platforms, governments, and AI developers have in limiting misuse?

How do recommender systems and engagement optimization shape what people see and believe online? In what ways can AI-generated content intensify echo chambers and political polarization? How can transparency, algorithmic audits, or alternative platform designs reduce harmful manipulation? What can individuals do to diversify their information diets and resist microtargeted persuasion?

What are the main approaches governments are considering for regulating AI development and deployment? How can regulation keep pace with rapid technological change without stifling beneficial innovation? What forms of democratic oversight, citizen input, or international coordination might be needed? How can ordinary people participate in shaping the rules and norms that govern AI systems?