Large language models can generate language that is often indistinguishable from language generated by humans, but they lack human motivations, beliefs, and accountability. These systems pose risks to our information ecosystem: bias amplification, fabrication, and misinfor. . .

How can GenAI empower rather than disempower people? We argue that designers should focus on the balance of agency between human users and GenAI models, architect interfaces that allow it to be dynamically reconfigured, and establish relations of care to monitor it over time.

A qualitative study of conversational programs fueled by generative AI examines their social and emotional effects.