Not Inevitable: Navigating Labor Displacement and Reinstatement in the Pursuit of AI for Social Good
Lanamäki, Arto; Väyrynen, Karin; Hietala, Heidi; Parmiggiani, Elena; Vassilakopoulou, Polyxeni (2024-11-19)
Lanamäki, Arto
Väyrynen, Karin
Hietala, Heidi
Parmiggiani, Elena
Vassilakopoulou, Polyxeni
Association for Information Systems
19.11.2024
Lanamäki, A., Väyrynen, K., Hietala, H., Parmiggiani, E., & Vassilakopoulou, P. (2024). Not Inevitable: Navigating Labor Displacement and Reinstatement in the Pursuit of AI for Social Good. Communications of the Association for Information Systems, 55, 831-845. https://doi.org/10.17705/1CAIS.05531
https://rightsstatements.org/vocab/InC/1.0/
© Association for Information Systems
https://rightsstatements.org/vocab/InC/1.0/
© Association for Information Systems
https://rightsstatements.org/vocab/InC/1.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202411226862
https://urn.fi/URN:NBN:fi:oulu-202411226862
Tiivistelmä
Abstract
Fear of job displacement in the Artificial Intelligence (AI) era echoes long-standing concerns about machines replacing human work. This paper critically examines dominant narratives around AI and its impact on jobs, challenging technology-deterministic predictions of widespread job loss. We introduce two key concepts: the 'reinstatement effect,' which suggests AI can create new jobs by generating demand for new activities, and 'human-technology augmentation,' which emphasizes AI’s potential to enhance human capabilities. Together, these perspectives provide a comprehensive view of AI’s influence on jobs. At the core of our argument is the focus on social good and the importance of regulation in shaping AI’s future impact on jobs.
Fear of job displacement in the Artificial Intelligence (AI) era echoes long-standing concerns about machines replacing human work. This paper critically examines dominant narratives around AI and its impact on jobs, challenging technology-deterministic predictions of widespread job loss. We introduce two key concepts: the 'reinstatement effect,' which suggests AI can create new jobs by generating demand for new activities, and 'human-technology augmentation,' which emphasizes AI’s potential to enhance human capabilities. Together, these perspectives provide a comprehensive view of AI’s influence on jobs. At the core of our argument is the focus on social good and the importance of regulation in shaping AI’s future impact on jobs.
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