Artificial Intelligence and Management: The Automation–Augmentation Paradox
By Sebastian Raisch, Sebastian Krakowski. Academy of Management Review, 2020
1,786 citations recorded by the source corpus.
Taking three recent business books on artificial intelligence (AI) as a starting point, we explore the automation and augmentation concepts in the management domain. Whereas automation implies that...
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/9c145390e6073c96e89cf03d3df3b559f0bb0496
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? (2022, positive): “AI algorithms are creating pieces of art that humans believe were created by classic artists (Iansiti & Lakhani, 2020), and are already solving problems considering huge amounts of evidence in ways that humans cannot easily perform by collaborating among themselves (Raisch & Krakowski, 2021).”
- The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions (2023, neutral): “122 By introducing generative AI to replace or augment such tasks, it is anticipated that there will be several significant shifts on the organizational level as well as the ways individuals, teams, and business units work and function.”
- A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021, positive): “Among the drawbacks of AI use within organizations are the negative attitudes and lack of trust that managers and employees maintain towards automation and intelligent technologies (Frey & Osborne, 2017; Raisch & Krakowski, 2021).”