Abstract
AbstractRecent advancements in generative AI systems fuel expectations that AI will free workers to resolve creative, complex, and rewarding tasks by automating routine and repetitive work. Furthermore, algorithmic decision systems (ADS) will improve decision quality by providing real-time information and insights, analyzing vast amounts of data, and generating recommendations to support decision-making. In this narrative, AI empowers workers to achievements that they could not reach without the technology. However, using AI in work contexts may also lead to changes in workers’ roles and identities, leading to feelings of reduced self-efficacy and lower confidence in their abilities and a sense of diminished value in the workplace, their ethical decision-making abilities, and professional integrity. Initial empirical findings on the impact of AI in the work context point to essential design aspects that will determine which of the narratives becomes a reality. This chapter presents these initial findings and makes design suggestions.
Publisher
Springer Nature Switzerland
Reference68 articles.
1. Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (XAI). IEEE Access, 6, 52138–52160. https://doi.org/10.1109/ACCESS.2018.2870052
2. Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Exploring the impact of artificial Intelligence: Prediction versus judgment. Information Economics and Policy, 47, 1–6. https://doi.org/10.1016/j.infoecopol.2019.05.001
3. Araujo, T., De Vreese, C., Helberger, N., Kruikemeier, S., van Weert, J., Bol, N., Oberski, D., Pechenizkiy, M., Schaap, G., & Taylor, L. (2018). Automated decision-making fairness in an AI-driven world: Public perceptions, hopes and concerns. Digital Communication Methods Lab. https://hdl.handle.net/11245.1/369fdda8-69f1-4e28-b2c7-ed4ff2f70cf6
4. Autor, D. H., Levy, F., & Murane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279–1333. https://doi.org/10.1162/00335530332255280
5. Bainbridge, L. (1983). Ironies of automation. Automatica, 19(6), 775–779. https://doi.org/10.1016/0005-1098(83)90046-8
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Managing workplace AI risks and the future of work;American Journal of Industrial Medicine;2024-09-02