🤖 AI Summary
This paper critically examines how smart wearable devices, under the rhetoric of “health empowerment,” transform the human body into a predictable, extractable stream of biodata—reconfiguring autonomy as neoliberal self-discipline and entrenching opaque data colonial relations and a “post-consent” governance logic. Methodologically, it pioneers an interdisciplinary framework integrating Deleuze’s theory of control societies, Zuboff’s surveillance capitalism, and Kitchin & Mejias’ data colonialism model. Its central contribution is the conceptualization of the “post-consent regime”: a systematic deconstruction of latent power structures embedded in wearable health technologies. The paper advocates shifting from individual optimization paradigms toward collective data sovereignty, democratic accountability, and care-centered design—thereby advancing a justice-oriented, democratized paradigm for biodata governance. (149 words)
📝 Abstract
In an era where bodies are increasingly rendered as streams of biometric data, smart wearables have emerged not only as tools of self-optimization but as infrastructures of predictive governance. This paper critically examines how devices such as the Apple Watch, Fitbit, and Oura Ring reconfigure bodily autonomy through feedback-driven self-surveillance, while embedding users within opaque systems of data extraction and algorithmic control. Drawing on Deleuze's concept of the control society, Zuboff's surveillance capitalism, and Couldry and Mejias's theory of data colonialism, the paper argues that wearables transform health empowerment into a modality of compliance that aligns seamlessly with neoliberal values of productivity, efficiency, and self-discipline. Through this interdisciplinary analysis, I reveal how biometric feedback loops normalize asymmetrical data relations and erode meaningful consent in what has become a post-consent regime. Beyond critique, the paper explores historical and emerging alternatives, from care-centered design legacies to anti-extractive practices and policy interventions grounded in data justice. Ultimately, it calls for a paradigm shift from individual optimization toward collective control and democratic accountability in the governance of bodily data.