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Intelligent machines are transforming the nature of knowledge, skills, and expertise, challenging many of our assumptions about work and organizing. Researchers have long emphasized the impact of emerging technologies on reshaping interactions within organizations and occupational communities. From paper mill operators with software systems (Zuboff, 1988), radiologists with computerized CT scanners (Barley, 1986), librarians with internet search (Nelson & Irwin, 2014), and NASA scientists with open-source innovation (Lifshitz- Assaf, 2018) scholars have found that the introduction of digital technologies can occasion changes to occupational identities and trouble the boundaries of domain knowledge within and between organizations. However, our understanding of expertise in the era of machine learning, algorithms, and AI is still nascent. Unlike previous digital technologies, intelligent machine applications can handle complex decision-making tasks and analysis of large amounts of structured and unstructured data, disintermediating the tasks of managers and workers (Kellogg et al., 2020; Murray et al., 2021; Faraj et al., 2018). As such, recent calls for research emphasize the need for more theorizing on expertise and more empirical studies on how workers, occupational communities, and organizations can adapt to and cultivate the skills needed in this new world of work (Heimstädt et al., 2023; Nicolini et al., 2022). Therefore, this symposium provides new perspectives and insights at the nexus of intelligent machines and the evolving nature of knowledge, skills, and expertise. It will consist of two conceptual and three empirical papers that grapple with differing forms of intelligent technologies and their impacts. In concert, these presentations foreground and question the assumptions and heuristics that scholars of work, management, and organizing have traditionally held preceding the proliferation of intelligent machines. This symposium is designed to encourage discussion and integrate diverse theoretical and methodological approaches to the evolving landscape of work and technology. How Autographic Affiliations Shape Patterns Of Technology Use Author: Callen Anthony; New York U. Ethical Expertise in the Era of Fair Algorithms in Organizations Author: Sarah Lebovitz; U. of Virginia Author: Emmanouil Gkeredakis; IESE Business School Monsters of Our Own Creation: AI, Occupational Cannibalization, and the Future of Work Author: Kevin Woojin Lee; U. of British Columbia Integrated Organizational Training in the Age of Artificial Intelligence Author: Hatim A. Rahman; Northwestern Kellogg School of Management Characteristics as a Complement to Process: Theorizing Skill in an Age of Intelligent Machines Author: Matt Beane; U. of California, Santa Barbara [ABSTRACT FROM AUTHOR]

More than thirty years after Lave and Wenger's Situated Learning: legitimate peripheral participation (1991), the concepts of communities of practice and situated learning are widely used by academics and practitioners. In this symposium, we aim to revisit the past developments around CoP and situated learning and offer insights for future research. We will a) take stock of the use of the concept of CoP in management and organization studies since its introduction in 1991 and examine whether the concept is still relevant in the current historical conditions (Davide Nicolini and Paul Duguid) b) examine how the concept can be further expanded and elaborated (Etienne and Beverley Wenger-Trayner) and c) Examine new research opportunities that could arise from a dialogue between the study of COPs and future of work. [ABSTRACT FROM AUTHOR]

With the increasing development and adoption of artificial intelligence (AI) technologies, the nature of work across today's organizations has been fundamentally changing. One central area of concern has revolved around what the rationalization of work through AI technologies might portend for work's humanness: a conceptually vague, if evocative and deeply meaningful, dimension of our sense of distinctiveness as a species. To explore how AI will impact the "humanness of work," and given that so much of the existing discourse on AI has been "largely speculative", we gathered a set of empirical studies that have gone out into this new world of work and observed what has been happening across today's workplaces. The insights illustrate that on one hand, AI can threaten work's humanness, as embodied in workers' expertise, the "soulness" of their emotive expressive work, and the "human touch" that they add to how organizations select their human capital. On the other hand, automation and algorithms have the potential to enrich work's humanness. Through discussing these findings as part of the symposium, we aim to derive both theoretical and practical insights on how AI can be leveraged to put human needs at the center and contribute to creating both a sustainable and effective work environment. Helping Experts Test Their Theories: How Algorithms Both Rely on and Threaten Occupational Expert Author: Melissa Valentine; Stanford U. Author: Rebecca Hinds; Stanford U. Augmenting or Automating? Breathing Life into the Uncertain Promise of AI Author: Kevin Woojin Lee; U. of British Columbia In Pursuit of Data: The Unanticipated Consequences of Feeding AI Tools Author: Elmira Van Den Broek; Stockholm School of Economics Author: Natalia Levina; New York U. Solve and Be Seen: How Workers in Deskilled Jobs Advance within and Organization Author: Matt Beane; U. of California, Santa Barbara Author: Dan Sholler; U. of California, Santa Barbara Author: Danielle Elaine Bovenberg; U. of California, Santa Barbara AI Tools as Teammates: How Algorithmic Perceptions and Emotions Shape Collective Decision-making Author: Zoe Jonassen; NYU Stern School of Business Author: Katherine C. Kellogg; MIT [ABSTRACT FROM AUTHOR]

This symposium aims to explore how advanced technologies using artificial intelligence (AI) are experienced and utilized by frontline workers across a range of organizational contexts, occupational groups, and geographical locations. Specifically, we examine how gig workers, blue collar workers, and professional workers in the U.S., Europe, and the Global South respond to and shape the deployment of AI technologies impacting their daily work experience in the fields of ride-hailing, factory work, nursing, and medicine, respectively. With our combined focus on understanding the workers' experience of AI technologies, we shed light on the practices in which these workers engage and the tensions they face, and examine the downstream effect of AI use on their agency, skills, knowledge, and other important individual and organizational outcomes. Using new field and ethnographic research conducted in a range of different organizational, occupational, and geographic contexts, this symposium will: 1) elaborate a set of practices which explicate how workers from across organizational contexts, occupations, and geographies utilize AI technologies in their work, and 2) demonstrate how these practices shape important outcomes for organizations and individuals. Together, the introductory remarks to the symposium, the empirical papers, the discussion of these papers, and the question and answer session are designed to develop new theoretical insights by elaborating the commonalities and differences in how AI usage at work unfolds across occupations and contexts. Granting Algorithmic Grace: How Professionals Persist in AI Use Despite Its Frequent Mistakes Author: Elisabeth Yang; Yale School of Management Author: Julia DiBenigno; Yale School of Management Author: Batia Mishan Wiesenfeld; New York U. The Platform is Not Neutral: A Multi-National Comparative Ethnography Author: Lindsey Cameron; The Wharton School, U. of Pennsylvania Author: Nicholas Occhiuto; EMLYON Business School Author: Bobbi Thomason; Pepperdine Graziadio Business School Developing or Undermining Expertise in the Shadow of AI? Author: Marjolaine Monique Rostain; Warwick Business School Author: Hila Lifshitz-Assaf; Warwick Business School Inclusive Automation Development: Enriching Entry-Level Jobs while Building Automation through a Clo Author: Matt Beane; U. of California, Santa Barbara Author: Erik Brynjolfsson; Stanford U. Author: Dan Sholler; U. of California, Santa Barbara [ABSTRACT FROM AUTHOR]

The article presents a study which examines the management of ambiguity in distributed knowledge work in a post-surgical intensive care unit (SICU) of a teaching hospital. The study explores the performance of night rounds in the SICU, which focuses on assessing patients' statuses and facilitating adjustments to treatment, through telephone and robotic telepresence. It reveals that ambiguity was managed at the SICU through the production of provisional settlements, which were achieved when they were empirically plausible and acceptable to key players. Also discussed is the implications of the study.

Robots and other types of automated technologies are increasingly taking over the tasks that were previously done by humans. Therefore, it is important to understand the diversity of the practices and the ways in which organizations and their members deal with technological change in different industries and contexts. Our symposium highlights how robots and automation change human work and what consequences this has on people and organizations. The symposium consists of four empirically grounded papers that focus on the burning theoretical questions in this field: how reliable performance is ensured in work with robots; how high reliability organizing principles may be adapted to robot-human interface; how robotization affects organizational performance and workforce structure in different types of organizations; and how humans negotiate work design and share social space with robots. By integrating diverse theoretical and methodological approaches into our symposium, we enrich our scholarly understanding of the impact of robotization and encourage discussion of the phenomenon from different angles. [ABSTRACT FROM AUTHOR]