Lauro, Quentin RomeroBigham, Jeffrey P.Kotturi, Yasmine2024-08-202024-08-202024-07-31https://doi.org/10.48550/arXiv.2407.21404http://hdl.handle.net/11603/35731The 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), November 9-13, 2024, San Jose, Costa RicaSmall business owners stand to benefit from generative AI technologies due to limited resources, yet they must navigate increasing legal and ethical risks. In this paper, we interview 11 entrepreneurs and support personnel to investigate existing practices of how entrepreneurs integrate generative AI technologies into their business workflows. Specifically, we build on scholarship in HCI which emphasizes the role of small, offline networks in supporting entrepreneurs’ technology maintenance. We detail how entrepreneurs resourcefully leveraged their local networks to discover new usecases of generative AI (e.g., by sharing accounts), assuage heightened techno-anxieties (e.g., by recruiting trusted confidants), overcome barriers to sustained use (e.g., by receiving wrap-around support), and establish boundaries of use. Further, we suggest how generative AI platforms may be redesigned to better support entrepreneurs, such as by taking into account the benefits and tensions of use in a social context.8 pagesen-USAttribution-ShareAlike 4.0 Internationalhttps://creativecommons.org/licenses/by-sa/4.0/deed.enComputer Science - Human-Computer Interaction H.5.3UMBC Human-Centered Computing ProgramText