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Updated: Aug 12, 2025

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
Published on: May 13, 2022
Innovation as a practice: Why automation will not kill innovation.
Dulce M Redín1, Goretti Cabaleiro-Cerviño1, Ignacio Rodriguez-Carreño1
1Department of Business, Uinversity of Navarra, School of Economics and Business, Pamplona, Spain.
This article examines whether artificial intelligence and robots can truly innovate. By applying philosophical frameworks, the authors argue that innovation is a uniquely human practice rooted in social traditions and moral wisdom, which machines cannot replicate.
Area of Science:
- Organizational behavior research within innovation studies
- Philosophy of technology and human-computer interaction
Background:
Current societal trends prioritize rapid change, often equating progress solely with financial profit rather than genuine social benefit. This narrow focus obscures the deeper meaning of creative development within human communities. Meanwhile, widespread anxiety persists regarding the displacement of human workers by increasingly capable automated systems. No prior work had resolved whether these technological advancements might eventually possess the capacity for original, meaningful innovation. That uncertainty drove this investigation into the fundamental nature of creative labor. Prior research has shown that machines excel at repetitive tasks, yet their ability to perform complex, value-driven work remains debated. This gap motivated a re-examination of innovation through a lens that transcends mere economic output. The authors seek to distinguish between mechanical replication and the authentic human practice of creating value.
Purpose Of The Study:
The aim of this study is to explore whether robots and artificial intelligence possess the capacity for genuine innovation. The authors address the concern that machines might eventually replace humans in all creative labor markets. They seek to determine if the act of innovating is exclusively inherent to human nature. This investigation is motivated by the contemporary cultural focus on rapid change and economic gain. The researchers identify a need for a more anthropological view of creative development. They intend to challenge the assumption that automation will inevitably lead to the obsolescence of human workers. By examining the philosophical foundations of practice, the authors hope to clarify the distinction between mechanical replication and human creativity. This work addresses the uncertainty regarding the future of human-led inquiry in an increasingly automated society.
Main Methods:
The review approach adopts a philosophical analysis of the relationship between technology and human creative activity. Researchers examine the current discourse surrounding labor market shifts and the rise of intelligent systems. The study employs MacIntyrean categories to redefine the parameters of creative work. This methodology involves evaluating whether machines can possess virtues such as practical wisdom. The authors synthesize perspectives on the social and anthropological dimensions of human progress. They contrast mechanical data processing with the pursuit of meaningful societal ends. This conceptual framework allows for a rigorous assessment of whether innovation is an inherent human trait. The investigation relies on logical deduction to determine the limitations of artificial intelligence in creative domains.
Main Results:
Key findings from the literature indicate that machines do not possess the capacity to innovate. The authors demonstrate that artificial intelligence lacks the necessary conditions to function as a locus of virtue. While devices may replicate human creative outputs, they cannot engage with a tradition. The study highlights that innovation is a domain-relative practice requiring practical wisdom. The researchers find that machines cannot participate in inquiry about the ends of human life. This analysis suggests that the human role in innovation remains distinct from automated processes. The authors conclude that the ability to innovate is fundamentally tied to human nature. These results support the view that technological progress does not equate to the replacement of human creative agency.
Conclusions:
The authors propose that machines lack the inherent capacity to engage in genuine innovation. They argue that technological devices cannot function as a locus of virtue. This synthesis suggests that innovation requires participation in a tradition, which remains exclusive to human beings. The researchers maintain that while software may mimic creative outputs, it fails to grasp the underlying purpose of practical life. These findings imply that human wisdom is a necessary condition for true creative advancement. The authors conclude that automation will not replace the human role in defining the ends of society. This perspective shifts the focus from technological fear to the importance of human-led inquiry. Ultimately, the study asserts that innovation is a practice tied to human moral development.
Frequently Asked Questions
The researchers propose that innovation requires moral wisdom and participation in a tradition. Machines lack these qualities, meaning they cannot act as a locus of virtue. While algorithms might mimic creative results, they cannot engage in the purposeful inquiry that defines human creative practice.
The authors utilize MacIntyrean categories to frame innovation as a domain-relative practice. This philosophical framework emphasizes that creativity and practical wisdom are virtues that must be cultivated within a specific social tradition, rather than just technical skills.
The authors state that participating in a tradition is necessary because innovation involves inquiry into the principles and ends of practical life. Machines cannot perform this inquiry because they lack the capacity to understand or value the social context of their actions.
The authors use this concept to argue that innovation is not a universal skill but a practice rooted in specific human contexts. This category helps distinguish between the mechanical output of a machine and the value-laden work performed by humans.
The authors measure the capacity for innovation by evaluating whether a subject can engage with a tradition or act as a locus of virtue. They find that machines fail these criteria, whereas humans possess the necessary conditions to fulfill them.
The authors claim that automation will not kill innovation because machines cannot replace the human capacity for moral inquiry. They suggest that society should focus on the human-centric nature of creative practice rather than fearing technological displacement in the labor market.
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