Friday, 9th May - 11am Kenton O'Hara Speaker: Professor Kenton O'Hara (School of Computer Science, University of Bristol)Title: Understanding the impact of an organisational LLM agent on the collaborative practices of knowledge workAbstract: With the emergence of large language models (LLMs), we have seen their widespread adoption by knowledge workers across a range of industries. A growing body of research is now exploring this adoption and examining its implications for the future of work. However, much of this research has focused on individual workers, emphasizing how LLMs are used to enhance personal productivity. Less attention has been paid to the more collaborative and situated dimensions of knowledge work, and to the impact of these technologies on workplace collaboration. Furthermore, many studies have centred on the use of off-the-shelf LLM agents such as ChatGPT. Yet, the introduction of these models at the organizational level has posed various challenges, limiting their integration into enterprise systems and workflows. As organizations begin to develop and tailor their own LLM agents—grounded in their specific enterprise systems and workflows—there are increasing opportunities for these technologies to transform collaborative knowledge practices. To date, these developments have not been well explored, particularly from the perspective of situated practice traditions rooted in CSCW research. With this in mind, we present recent research conducted in an IT services organization that introduced a custom LLM agent integrated into its enterprise systems, documents, and workflows. Accessible through their Slack collaboration platform, we examine how this system has shaped the collaborative practices of its employees. May 09 2025 11.00 - 12.00 Friday, 9th May - 11am Kenton O'Hara This event is co-organised by ILCC and by the UKRI Centre for Doctoral Training in Natural Language Processing, https://nlp-cdt.ac.uk. IF G.03 and on Teams Contact
Friday, 9th May - 11am Kenton O'Hara Speaker: Professor Kenton O'Hara (School of Computer Science, University of Bristol)Title: Understanding the impact of an organisational LLM agent on the collaborative practices of knowledge workAbstract: With the emergence of large language models (LLMs), we have seen their widespread adoption by knowledge workers across a range of industries. A growing body of research is now exploring this adoption and examining its implications for the future of work. However, much of this research has focused on individual workers, emphasizing how LLMs are used to enhance personal productivity. Less attention has been paid to the more collaborative and situated dimensions of knowledge work, and to the impact of these technologies on workplace collaboration. Furthermore, many studies have centred on the use of off-the-shelf LLM agents such as ChatGPT. Yet, the introduction of these models at the organizational level has posed various challenges, limiting their integration into enterprise systems and workflows. As organizations begin to develop and tailor their own LLM agents—grounded in their specific enterprise systems and workflows—there are increasing opportunities for these technologies to transform collaborative knowledge practices. To date, these developments have not been well explored, particularly from the perspective of situated practice traditions rooted in CSCW research. With this in mind, we present recent research conducted in an IT services organization that introduced a custom LLM agent integrated into its enterprise systems, documents, and workflows. Accessible through their Slack collaboration platform, we examine how this system has shaped the collaborative practices of its employees. May 09 2025 11.00 - 12.00 Friday, 9th May - 11am Kenton O'Hara This event is co-organised by ILCC and by the UKRI Centre for Doctoral Training in Natural Language Processing, https://nlp-cdt.ac.uk. IF G.03 and on Teams Contact
May 09 2025 11.00 - 12.00 Friday, 9th May - 11am Kenton O'Hara This event is co-organised by ILCC and by the UKRI Centre for Doctoral Training in Natural Language Processing, https://nlp-cdt.ac.uk.
