Conference Agenda (All times are shown in Eastern Daylight Time)

This study investigates public perceptions of generative artificial intelligence (GenAI) in libraries through a large-scale analysis of X/Twitter posts. Using a mixed-method approach that combines temporal trend analysis, sentiment classification, and social network analysis, the researchers explore how discourse around GenAI and libraries has evolved over time, what emotional tones dominate the conversation, and which users or organizations act as key influencers. The findings reveal that discussions are predominantly negative in tone, with spikes driven by ethical and intellectual property concerns. Social network structures highlight both institutional authority and individual

bridge users, facilitating cross-domain engagement. The results contribute to the growing literature on GenAI in the library and GLAM (Galleries, Libraries, Archives, and Museums) sectors and offer a public-facing perspective on the opportunities and concerns emerging in real time.

The future of public library work is likely to feature emerging AI capabilities, which will have a significant impact on worker identity. The current study suggests that an analysis of the identity threats posed by a worker’s interactions with existing library technology have important implications for their future interactions with AI. This is because many of the contextual factors that are likely to moderate the impact of AI on workers have been present in several previous iterations of workplace technology. By analyzing audio diaries from 52 public library workers, the current study uncovers the existence of several identity threats introduced as workers interact with technology. The study also reveals the conditional factors that moderate technology’s impact on identity, as well as the strategies workers employ to respond to identity threats. By framing its implementation of future AI in light of these findings, the library profession will be in a better position to avoid previous mistakes.