-------- Forwarded Message -------- Subject: [AISWorld] HICSS Minitrack Advances in Trust Research: Artificial Intelligence in Organizations Date: Thu, 2 Jul 2020 16:01:34 +0000 From: Jarvenpaa, Sirkka L Sirkka.Jarvenpaa@mccombs.utexas.edu To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
Minitrack: Advances in Trust Research: Artificial Intelligence in Organizations TRACK: ORGANIZATIONAL SYSTEMS AND TECHNOLOGY
05-08 January, 2021 Grand Hyatt Kauai http://hicss.hawaii.edu
Within the 54th Hawaiian International Conference on System Sciences (HICSS), we organize a minitrack on "Advances in Trust Research: Artificial Intelligence in Organizations". The 54th HICSS, one of the most prominent conferences on Information Systems and Sciences worldwide, will be held January 05-08, 2021 at Grand Hyatt Kauai (http://hicss.hawaii.edu)about:blank.
Artificial intelligence (AI) is changing the relationship of humans and machines in organizations. AI is already widely used to enhance organizational efficiency by automating simple work tasks previously conducted by humans. Furthermore, organizations are increasingly exploring AI to enhance organizational effectiveness. For example, by drawing on large datasets, AI is applied in decision making, problem-solving, reasoning, learning and creativity in various organizational functions including HR, production, finance, marketing, logistics and innovation. Despite the current rapid development of relevant technologies uncertainty prevails of the real benefits and value created by AI. For example, opaque AI computations can hardly be explained to internal or external stakeholders, potentially resulting in outcomes that can hardly be trusted. The discussion of whether AI will create a utopia or dystopia for organizations and their employees prevails.
Trust is highly relevant for understanding the adoption and related risks and opportunities of AI in contemporary organizations. Until recently, research on trust has been dominated by the conceptual and empirical assessment of organisational and interpersonal trust. However, the sources and referents of trust, and the trust mechanisms that shape trusting beliefs and behavior are becoming more diverse, and increasingly including complex technological referents - such as AI - as well as the trust mechanisms that shape trusting beliefs and behavior.
In this mini-track, we aim to focus the relationship of trust and AI in organizations.
How do new advancements in AI change the way we trust, and trust-related processes in organizations? What forms will trust take in the context of intelligent systems being implemented by organizations? How do decision makers interpret and build trust in AI applications? When and how do trust in AI, trust in organizations, trust in humans, and trust in technology augment or substitute each other? How can we conceptualize and measure trust in AI? What shapes trust in AI and its consequences for organizations? What are the various risks and vulnerabilities to trust imposed by emerging algorithmic capabilities, cloud-based platforms, complex platform infrastructures, and highly distributed peer-to-peer systems?
AI development and adoption requires interdisciplinary and cross-border collaboration among analytics experts, software developers, business and users. What kind of challenges and opportunities are involved in augmented intelligence and related decision-making from an organizational perspective? In what conditions do decision makers/managers/employees trust in AI, and when in human knowledge? Is it possible that human-like AI systems exacerbate rather than compensate weaknesses common in trust assessments made in contemporary organizations?
We welcome papers that theoretically or empirically advance our understanding by addressing the cross-section of the two topic areas (1) trust research and (2) artificial intelligence in organizations. Papers can use any acceptable methodology and/or theory.
Some possible topic areas include but are not limited to the following:
* Understanding the role of AI and trust in complex organizational decision making * How do AI-powered algorithmic management practices implemented by organizations affect employee trust? * Understanding the role of trust in the development and implementation of the algorithmic cycle in organizations, e.g., functions, openness of coding, data collection and implementation of new services * Understanding trust relationships between individuals, organizations, and emerging technologies, e.g., personal robots, smart toys, wearables, personal voice assistants, 3D printing, autonomous vehicles, drones. * How can organizations increase trust in opaque black-box AI algorithms? * How can organizations maintain employee trust when introducing robots substituting or augmenting employee work tasks? * Understanding trust in AI in teams, problem solving and creative work * When and how could AI as supervisor or team member build employee trust? * How can organizations manage bias and maintain stakeholder trust in AI-enabled decision-making? * How do norms and policies at organizational and/or institutional level influence trust in organizational AI development and adoption?
Minitrack Co-Chairs: Sirkka L. Jarvenpaa (Primary Contact), McCombs School of Business, The University of Texas at Austin, Sirkka.Jarvenpaa@mccombs.utexas.edumailto:Sirkka.Jarvenpaa@mccombs.utexas.edu
Mareike Möhlmann, Warwick Business School, University of Warwick, Mareike.Moehlmann@wbs.ac.ukmailto:Mareike.Moehlmann@wbs.ac.uk
Kirsimarja Blomqvist, School of Business, LUT University, Kirsimarja.blomqvist@lut.fimailto:Kirsimarja.blomqvist@lut.fi
Sirkka L. Jarvenpaa is the James Bayless/Rauscher Pierce Regents Chair in Business Administration at the McCombs School of Business, University of Texas at Austin where she is the director of the center for Business, Technology, and Law. During 2008-2012, she held the Finnish Distinguished Professorship at Aalto University School of Science and Technology. She has held visiting professorships in leading business schools in the U.S. and Asia. She has served as the editor-in-chief of the Journal of Association for Information Systems, co-editor-in-chief of Strategic Information Systems, and as the senior editor of Organization Science, Information Systems Research, and MIS Quarterly. She is a recipient of three honorary doctoral degrees. In 2017, she was awarded the Association for Information Systems (AIS) LEO Award for Exceptional Lifetime Achievement in the field of information systems.
Mareike Möhlmann is Assistant Professor in Information Systems Management at Warwick Business School. In Summer 2020 she will start a new position as Assistant Professor at Bentley University. Previously, she worked as a postdoctoral researcher in the IOMS Department at the Stern School of Business/New York University. She obtained her PHD at the University of Hamburg in Germany. Her current research focuses on digital trust, so-called sharing economy services and the gig economy, digital platforms, and algorithmic management.
Kirsimarja Blomqvist is a Professor for Knowledge management at the School of Business and Management at LUT University, Finland. Her research focuses on trust, knowledge, innovation, digitalization and new forms of organizing. She is a founding, and board member for FINT, First International Network for Trust researchers and serves as Associate Editor for Journal of Trust Research and an editorial review board member for Industrial Marketing Management, and Journal of Organization Design. She is a frequent speaker of her research topics and a member of the Academy of Finland Research Council for Culture and Society.
IMPORTANT DATES FOR CALL FOR PAPERS July 15, 2020 Submission full manuscripts August 17, 2020 Acceptance Notifications September 22, 2020 Deadline for Final Manuscript October 1, 2020 Deadline for at least one author to register
More info: http://hicss.hawaii.edu
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