Advancing Knowledge on Artificial Intelligence in the Workplace

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Artificial intelligence (AI) has emerged as a force capable of affecting every fabric of organizational life, from handling simple tasks and aiding in complex decision-making to freeing time and increasing productivity. However, along with the opportunities, AI has also brought challenges that can impact the workplace environment. Like any organizational change, AI-enabled work-related changes can evoke both positive (e.g., excitement) and negative (e.g., fear) emotional reactions prompting individuals to engage in behavioral responses and proactively adapt. As part of adapting to work-related changes and to enhance the meaning of their work, individuals engage in job crafting, influencing not only their outcomes but also organizational ones. Additionally, the use of AI in high-stakes environments, ranging from hiring to healthcare (McKendrick & Thurai, 2022) introduces biases and reinforces stereotypes, often discriminating against women (Meyer, 2018) and people of color (Babic, Cohen, Evgeniou, Gerke, & Trichakis, 2020). Such disparities in outcomes raise concerns about algorithmic bias, transparency, accountability, trust and other ethical issues (Lin, 2018) that can influence the adoption of AI. This symposium approaches in different ways the above opportunities and challenges brought by AI. The first paper focuses on how an AI-based productivity tool can help employees save time and increase productivity. The second and third papers examine emotions and job crafting respectively, topics highly relevant to the emergence of the “Feeling Economy”, where individuals could craft their work by investing in “soft” skills (Rust & Huang, 2021). The fourth and fifth papers focus on mindfulness and leadership representation respectively with the aim to address concerns such as biases, stereotypes, and trust in AI, concerns that have implications for both individuals and organizations. A Data-Driven HR Evaluation of Microsoft 365 Copilot Implementation in Global Healthcare Company Author: Slavka Silberg; Palacký University Olomouc Author: Ludek Stehlík; - Author: Michal Silberg; Emotional Artificial Intelligence and Work: Results of a Systematic Review Author: Yunyun Emily Yuan; Beijing Institute of Technology Author: Sarah Bankins; Macquarie University Author: Eva Selenko; Loughborough University Author: Pingqing Liu; Beijing Institute of Technology AI Mindfulness in Policing: Towards a Typology of Responsible Humans in the Loop Author: Federico Iannacci; University of Sussex Author: Stan Karanasios; The University of Queensland Author: Gianluigi Viscusi; Linköping University Craft Your Job Through AI: An Investigation of Workers’ Augmented Crafting Behavior Author: Luca Fazi; University of Bologna Author: Sara Zaniboni; University of Bologna Leadership Through the AI Lens: Exploring Images of Leadership Across Human and AI Creations Author: Cécile Emery; University of Exeter Author: Andrew James Kloeden; University of Exeter Author: Levke Henningsen; University of Exeter Author: Kim Peters; University of Exeter

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