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Is technology a neutral instrument that humans deploy for good or ill, or is it a value-laden force that reshapes power, culture, and experience? This question has driven critical technology studies (CTS) since its emergence in the mid-twentieth century. CTS examines how technologies are shaped by—and in turn shape—social structures, political arrangements, and human identities. It rejects the instrumentalist view that technology is merely a tool, insisting instead that technological systems embody assumptions about power, knowledge, and the good life. Over the past eighty years, CTS has developed through a series of frameworks that have debated the source of technology's power, the proper method for studying it, and the role of human agency in technological change.
The first wave of critical frameworks arose in the mid-twentieth century, each challenging the idea that technology is politically and ethically neutral. The Frankfurt School Critical Theory of Technology, rooted in the work of Max Horkheimer, Theodor Adorno, and later Herbert Marcuse and Jürgen Habermas, argued that technology under capitalism is not a neutral means but a form of domination. For the Frankfurt School, technological rationality—efficiency, calculability, control—had become a mode of social control that extended beyond the factory into everyday life. Technology, in their view, was inseparable from the capitalist logic of exploitation and alienation.
Around the same time, Heideggerian Philosophy of Technology offered a different diagnosis. Martin Heidegger, in his 1954 essay "The Question Concerning Technology," argued that the essence of modern technology is not instrumentality but "Enframing" (Gestell)—a way of revealing the world as a standing reserve of resources to be optimized. For Heidegger, the problem was not capitalism but a metaphysical shift that reduced all beings to raw material. This ontological critique contrasted sharply with the Frankfurt School's focus on social and economic structures.
A third early voice was Ellul's Technological Autonomy Thesis. Jacques Ellul, a French sociologist and theologian, argued in The Technological Society (1954) that technology had become an autonomous force that follows its own logic, independent of human intentions. For Ellul, technique—the totality of methods for achieving maximum efficiency—had escaped human control and was reshaping society in its image. Unlike Heidegger, Ellul emphasized the self-augmenting character of technology; unlike the Frankfurt School, he saw the problem as civilization-wide rather than specifically capitalist.
These three frameworks shared a rejection of technological neutrality but disagreed on the source of technology's power: capitalism (Frankfurt School), ontology (Heidegger), or autonomous technique (Ellul). All three were broadly deterministic, treating technology as a force that shapes society from the outside. This determinism would become the target of the next wave.
By the 1980s, a new generation of scholars argued that the early critical frameworks had overestimated technology's autonomous power and underestimated the role of human actors in shaping technological systems. The Social Construction of Technology (SCOT), developed by Trevor Pinch and Wiebe Bijker, directly challenged technological determinism. SCOT argued that technological artifacts are not inevitable outcomes of technical logic but are shaped by the interpretations and negotiations of relevant social groups. A technology's success or failure depends on which groups can impose their meaning on it. For example, the development of the bicycle was not a linear march toward efficiency but a contested process in which different designs (high-wheelers, safety bicycles) reflected different social values.
Actor-Network Theory (ANT), associated with Bruno Latour, Michel Callon, and John Law, shared SCOT's constructivism but extended it in a radical direction. ANT argued that agency is not limited to humans; non-human entities—technologies, animals, natural forces—also act as "actants" that shape outcomes. A speed bump, for instance, is not a passive object but an actor that forces drivers to slow down. ANT rejected the human-centeredness of earlier critical theory and insisted on symmetrical analysis of human and non-human actors. This created a tension with SCOT, which retained a focus on human social groups as the primary shapers of technology.
Both SCOT and ANT responded to the determinism of the early frameworks by showing that technology is contingent, negotiated, and open to alternative paths. However, they were often criticized for neglecting power asymmetries—for treating all actors as equal in a flat ontology, when in reality some actors (corporations, states) have far more influence than others.
While SCOT and ANT were developing constructivist accounts, other scholars were broadening the critical lens to include dimensions that the early frameworks had overlooked. Feminist Technology Studies emerged in the 1980s, arguing that gender is a central category for understanding technology. Feminist scholars such as Judy Wajcman and Ruth Schwartz Cowan showed that technologies are not gender-neutral: they are designed, marketed, and used in ways that reinforce gender roles. For example, household technologies like the microwave were marketed to women as domestic tools, while engineering and computing were constructed as masculine domains. Feminist Technology Studies challenged both the early critical frameworks (which ignored gender) and the constructivist frameworks (which treated power as a matter of social groups without analyzing patriarchy).
Postphenomenology, developed primarily by Don Ihde from the 1990s onward, offered a different expansion. Postphenomenology drew on phenomenology to analyze how technologies mediate human experience. Unlike Heidegger's totalizing concept of Enframing, postphenomenology examined specific technologies—eyeglasses, microscopes, ultrasound—and showed how they amplify or reduce aspects of perception. For Ihde, technologies are not a monolithic force but a diverse set of mediators that shape our bodily engagement with the world. Postphenomenology thus rejected the determinism of early frameworks and the social reductionism of some constructivist approaches, insisting on the irreducibility of embodied experience.
Feminist Technology Studies and Postphenomenology shared a commitment to specificity and difference, but they operated on different levels: feminist studies focused on social power, while postphenomenology focused on perceptual mediation. Both, however, challenged the universalizing tendencies of earlier critical theory.
The rise of digital technologies, big data, and algorithmic governance in the twenty-first century prompted new critical frameworks that extend and transform earlier insights. Algorithmic Studies emerged as a field that examines how algorithms—the rules and models that drive search engines, recommendation systems, and automated decision-making—encode values and exercise power. Scholars such as Safiya Umoja Noble and Cathy O'Neil have shown that algorithms can perpetuate racism, sexism, and economic inequality, often in opaque ways. Algorithmic Studies draws on the Frankfurt School's concern with domination and on SCOT's attention to social shaping, but it focuses on the specific technical mechanisms of algorithmic systems.
Critical Data Studies takes a broader view, examining the entire data ecosystem: how data is collected, stored, analyzed, and used. Researchers like Rob Kitchin and Tracey Lauriault argue that data is not a neutral resource but a historical artifact shaped by political and economic forces. Critical Data Studies shares with Algorithmic Studies a concern with power, but it emphasizes the infrastructural and epistemological dimensions of data—how data regimes create new forms of knowledge and governance. Both frameworks are active today, often overlapping but with different emphases: Algorithmic Studies focuses on the logic of algorithms, while Critical Data Studies focuses on the politics of data.
These digital-era frameworks represent a partial return to the concerns of early critical theory—power, domination, and the shaping of society by technological systems—but they do so with the constructivist and feminist insights of the intervening decades. They are not deterministic: they show how algorithms and data are themselves products of human choices and social struggles.
Today, all nine frameworks remain active, each with its own strengths and limitations. The early critical frameworks (Frankfurt School, Heidegger, Ellul) continue to inform broad critiques of technological society, though they are often seen as too abstract or deterministic. SCOT and ANT provide detailed empirical methods for studying technological change, but they are sometimes criticized for neglecting power and ethics. Feminist Technology Studies and Postphenomenology offer nuanced analyses of gender and embodiment, but they can be less attentive to large-scale political economy. Algorithmic Studies and Critical Data Studies are the most rapidly growing areas, but they risk reinventing older insights without engaging the full history of CTS.
The leading frameworks today—SCOT, ANT, Feminist Technology Studies, Postphenomenology, Algorithmic Studies, and Critical Data Studies—agree on several points: technology is not neutral; it is shaped by social, political, and cultural forces; and it in turn shapes human experience and power relations. They disagree, however, on the relative importance of human versus non-human agency (ANT vs. SCOT), on whether to prioritize social categories like gender (feminist studies) or perceptual mediation (postphenomenology), and on whether the digital era requires fundamentally new concepts or just extensions of old ones. The field remains pluralistic, with no single framework dominating. This pluralism is itself a strength: it allows CTS to address the complexity of technology in a world where algorithms, data, and infrastructures are increasingly central to everyday life.