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Published on: January 7, 2019
Enabling 'AI'? The situated production of commensurabilities
Florian Jaton1, Philippe Sormani2
1Graduate Institute of International and Development Studies, Geneva, Switzerland.
This article explores how artificial intelligence is not a fixed entity but rather something that is actively constructed through specific social and technical practices. By examining these processes, the authors argue that these systems function primarily as tools for making different things comparable, a process known as commensuration. Instead of debating whether these technologies are truly intelligent, the study focuses on documenting the everyday situations where these systems are made to appear or disappear. This approach allows researchers to understand the practical work required to maintain these technologies in real-world settings. The findings suggest that the power of these systems lies in their ability to translate diverse information into standardized formats. Ultimately, the work shifts the focus from abstract definitions of machine intelligence to the tangible, situated performances that sustain these digital infrastructures.
Area of Science:
- Science and Technology Studies (STS) research on the situated production of commensurabilities
- Sociology of technology and artificial intelligence systems
Background:
Scholars often struggle to analyze digital systems without relying on problematic definitions of machine cognition. That uncertainty drove a need for new analytical frameworks within the field of technology studies. Prior research has shown that traditional debates frequently polarize around whether these tools possess genuine agency. No prior work had resolved how to study these infrastructures while maintaining a neutral, empirical stance. This paper addresses the gap by examining the social practices that sustain these digital entities. The authors reject the binary choice between celebrating or condemning these complex computational developments. Instead, they propose a shift toward observing the specific performances that bring these systems into existence. This perspective allows for a more nuanced understanding of how digital tools function in everyday life.
Purpose Of The Study:
The aim of this study is to document the performances that make these systems appear or disappear in specific situations. This objective addresses the need to examine these technologies without relying on problematic definitions of intelligence. The researchers seek to move beyond the binary debate regarding the benefits or harms of these tools. This motivation stems from the desire to maintain an empirical and agnostic perspective. The authors intend to provide a new analytical path for scholars within the Science and Technology Studies tradition. They aim to show how these systems function as vast projects of standardization. This purpose is driven by the goal of uncovering the hidden labor behind digital infrastructures. By focusing on situated production, the study seeks to clarify how these technologies are sustained in real-world settings.
Main Methods:
The authors adopt an agnostic, empirical approach to document the performances of these digital systems. This review approach avoids taking a position on the inherent benefits or harms of the technology. The researchers examine how these tools appear or disappear within specific, situated social contexts. This design focuses on the practical work that sustains these infrastructures in everyday life. The analysis draws upon the Science and Technology Studies tradition to question established notions of artificiality. By shifting the focus, the study avoids the common trap of debating whether these systems possess genuine intelligence. The methodology prioritizes the observation of localized interactions over abstract, theoretical definitions. This strategy allows for a detailed account of the social and technical processes involved in maintaining these systems.
Main Results:
The key findings from the literature suggest that these systems act as vast projects of standardization. This result indicates that the primary function of these tools is to make diverse information comparable. The study demonstrates that the appearance of these systems is a variable outcome of specific social performances. The evidence shows that these technologies can disappear when the necessary social work is absent. The researchers identify that the power of these systems lies in their ability to translate heterogeneous data into standardized formats. These findings highlight that the existence of these tools is not a fixed state. The analysis reveals that the labor behind these infrastructures is often hidden from view. This work confirms that focusing on situated practices provides a more accurate picture than debating abstract definitions.
Conclusions:
The authors propose that these systems function primarily as vast projects of standardization. This synthesis suggests that the appearance of these tools depends on specific, localized social efforts. The evidence indicates that these technologies are not fixed objects but are constantly being negotiated. The researchers argue that focusing on these performances reveals the hidden labor behind digital infrastructure. This review implies that the power of these tools lies in their capacity to make diverse data comparable. The findings demonstrate that these systems can disappear when the necessary social work is absent. The authors conclude that studying these processes provides a more accurate picture than debating abstract definitions. This work shifts the focus toward the practical, situated activities that sustain modern digital environments.
Frequently Asked Questions
The researchers propose that these systems operate as vast commensuration projects. By standardizing diverse inputs, these tools create comparability where none existed before, rather than possessing inherent intelligence. This mechanism contrasts with traditional views that treat these technologies as autonomous, thinking entities.
The authors utilize the Science and Technology Studies (STS) tradition to frame their inquiry. This conceptual tool allows them to question the validity of artificiality and intelligence as fixed categories, distinguishing their approach from mainstream computer science perspectives that often accept these terms without critical examination.
Empirical observation of situated performances is necessary to document how these systems appear or disappear. This technical requirement ensures that the analysis remains agnostic, avoiding the pitfalls of taking a normative stance on the benefits or harms of the technology.
The authors rely on qualitative documentation of social practices to identify how these systems are maintained. This data type serves as a contrast to quantitative performance metrics, which often obscure the human labor and social coordination required to make these digital infrastructures function in practice.
The study measures the appearance and disappearance of these systems within specific contexts. This phenomenon highlights that the existence of these tools is not a constant state but a variable outcome of ongoing, localized social and technical work.
The authors claim that their perspective allows for a more accurate understanding than debating abstract definitions. They suggest that by focusing on situated production, scholars can better grasp the actual impact of these technologies on society, compared to the speculative discourse surrounding their potential future capabilities.
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