About this Research Topic
This research topic aims to examine and develop a critical understanding of how intelligent technologies are reconfiguring work at both the individual and collective level. It aims to explore how these changes can be negotiated and regulated through formal and informal means, thereby advancing the relationship between intelligent technologies and the future of work. We are particularly interested in research that identifies institutional, organizational, and individual-level (macro-meso-micro) factors affecting the deployment, adoption, and appropriation of intelligent technologies by organizations, and their implications for workers. This Research Topic aims to reimagine work in the era of intelligent technologies from an interdisciplinary perspective.
To gather further insights into the boundaries of this research, we welcome articles addressing, but not limited to, the following themes:
- Intelligent technologies and macro-meso level transformations and challenges: implications for work reconfiguration, alterations to existing social and technological/material structures, and transformations in service provision and work practices.
- Intelligent technologies and micro-level transformations and challenges: mediation, embrace, or resistance by professionals, including issues such as professional agency, identity, algorithmic management, and decision-making.
- Ethical implications of intelligent technologies: differences from non-intelligent technologies, transformations in the politics of work, and concerns such as the digital divide, transparency, algorithmic bias, responsibility gap, responsible AI, and privacy.
Keywords: work, Intelligent Technologies, artificial intelligence, workers, digitization, organizations, machine learning, natural language processing, robots, ethics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.