TY - JOUR A1 - Cardon, Peter W. A1 - Ma, Haibing A1 - Fleischmann, Carolin T1 - Recorded Business Meetings and AI Algorithmic Tools: Negotiating Privacy Concerns, Psychological Safety, and Control JF - International Journal of Business Communication N2 - Artificial intelligence (AI) algorithmic tools that analyze and evaluate recorded meeting data may provide many new opportunities for employees, teams, and organizations. Yet, these new and emerging AI tools raise a variety of issues related to privacy, psychological safety, and control. Based on in-depth interviews with 50 American, Chinese, and German employees, this research identified five key tensions related to algorithmic analysis of recorded meetings: employee control of data versus management control of data, privacy versus transparency, reduced psychological safety versus enhanced psychological safety, learning versus evaluation, and trust in AI versus trust in people. More broadly, these tensions reflect two dimensions to inform organizational policymaking and guidelines: safety versus risk and employee control versus management control. Based on a quadrant configuration of these dimensions, we propose the following approaches to managing algorithmic applications to recording meeting data: the surveillance, benevolent control, meritocratic, and social contract approaches. We suggest the social contract approach facilitates the most robust dialog about the application of algorithmic tools to recorded meeting data, potentially leading to higher employee control and sense of safety. Y1 - 2021 U6 - https://doi.org/10.1177/23294884211037009 ER - TY - JOUR A1 - Getchell, Kristen M. A1 - Carradini, Stephen A1 - Cardon, Peter W. A1 - Fleischmann, Carolin A1 - Ma, Haibing A1 - Aritz, Jolanta A1 - Stapp, James T1 - Artificial Intelligence in Business Communication: The Changing Landscape of Research and Teaching JF - Business and Professional Communication Quarterly N2 - The rapid, widespread implementation of artificial intelligence technologies in workplaces has implications for business communication. In this article, the authors describe current capabilities, challenges, and concepts related to the adoption and use of artificial intelligence (AI) technologies in business communication. Understanding the abilities and inabilities of AI technologies is critical to using these technologies ethically. The authors offer a proposed research agenda for researchers in business communication concerning topics of implementation, lexicography and grammar, collaboration, design, trust, bias, managerial concerns, tool assessment, and demographics. The authors conclude with some ideas regarding how to teach about AI in the business communication classroom. Y1 - 2022 U6 - https://doi.org/10.1177/23294906221074311 VL - 85 IS - 1 SP - 7 EP - 33 ER - TY - CHAP A1 - Cardon, Peter A1 - Fleischmann, Carolin A1 - Aritz, Jolanta A1 - Ma, Haibing A1 - Springer, Ann A1 - Springer, Scott T1 - The Influence of Psychological Safety and Personality on Technology Acceptance of Team-Based Technology in Global Virtual Teams T2 - Proceedings of the 55th Hawaii International Conference on System Sciences N2 - Collaboration platforms for teams, such as Slack, are increasingly used in virtual teams. Conventional wisdom suggests attitudes about adopting these types of platforms is primarily driven by their affordances. Our project emerged from the premise that psychological safety and personality traits can also significantly influence attitudes related to technology adoption. This research of roughly 300 global virtual teams showed that psychological safety influences views of collaboration platforms in terms of performance expectancy, effort expectancy, and hedonic motivation. In addition, this research showed that personality traits influence views of collaboration platforms. These findings about psychological safety and personality traits suggest a team-development approach is an integral component of the technology adoption process. Recommendations for future research are provided. Y1 - 2022 UR - http://hdl.handle.net/10125/79406 ER - TY - CHAP A1 - Cardon, Peter A1 - Ma, Haibing A1 - Fleischmann, Carolin A1 - Aritz, Jolanta T1 - Recorded Work Meetings and Algorithmic Tools: Anticipated Boundary Turbulence T2 - Proceedings of the 54th Hawaii International Conference on System Sciences N2 - Meeting recordings and algorithmic tools that process and evaluate recorded meeting data may provide many new opportunities for employees, teams, and organizations. Yet, the use of this data raises important consent, data use, and privacy issues. The purpose of this research is to identify key tensions that should be addressed in organizational policymaking about data use from recorded work meetings. Based on interviews with 50 professionals in the United States, China, and Germany, we identify the following five key tensions (anticipated boundary turbulence) that should be addressed in a social contract approach to organizational policymaking for data use of recorded work meetings: disruption versus help in relationships, privacy versus transparency, employee control versus management control, learning versus evaluation, and trust in AI versus trust in people. Y1 - 2021 UR - http://hdl.handle.net/10125/70633 SP - 196 ER - TY - JOUR A1 - Fleischmann, Carolin A1 - Cardon, Peter W. A1 - Ma, Haibing T1 - Algorithmische Auswertung von Mitarbeiterdaten: zwischen Vertrauen und Kontrolle JF - PERSONALquarterly KW - KI Y1 - 2022 VL - 2022 IS - 03 ER -