Hanlin Li

Hanlin Li, an assistant professor at UT Austin, delves into the complexities of data labor and governance. She discusses how online contributions are monetized and the need for transparency in data practices. Hanlin examines motivations behind volunteer content creation and explores generative AI's impact on creators. She emphasizes the importance of designing effective transparency measures and suggests policy mandates for data usage disclosure. Her insights aim to empower data producers and highlight the societal implications of user-generated content.