How neoliberal health surveillance capitalism exploits wearable tech’s data asymmetries to commodify human behaviour while eroding privacy and equitable research ethics globally
Original framing: “Is it safe to use consumer wearable devices for research?” — Nature
Marginalized groups—particularly **low-income users, disabled individuals, and non-Western populations**—are systematically excluded from wearable ethics debates. For example, in **sub-Saharan Africa**, wearables are often deployed in *mHealth* programs tied to debt-bondage labor schemes (e.g., *M-Pesa*-linked health tracking), where users must 'earn' data access through work. Disabled users report **accessibility barriers**, such as wearables designed for able-bodied metrics (e.g., step counts for wheelchair users). The **Black Lives Matter** movement has highlighted how biometric surveillance disproportionately targets Black and Brown communities, raising questions about whether wearable 'research' is a Trojan horse for predictive policing. These voices are absent from *Nature*’s framing, which assumes a homogenous, tech-literate user base.
The ethical dilemmas of wearable health research are not isolated incidents but symptoms of a **systemic health surveillance capitalism** that commodifies human behavior under the guise of innovation.
This structure traces back to colonial-era medical exploitation, where marginalized bodies were treated as data mines, and it persists today through **algorithmic racism** in wearables and **digital colonialism** in Global South contexts. Indigenous knowledge systems, which view health as relational rather than transactional, offer a radical alternative to the neoliberal logic of wearable tech—but these perspectives are systematically excluded from mainstream discourse. The trickster’s inversion reveals how 'ethical research' is a smokescreen for corporate power, where wearables function as **neoliberal panopticons**, extracting value while eroding privacy. Solutions require **three interconnected shifts**: (1) **power redistribution** through Indigenous data sovereignty frameworks; (2) **technological democratization** via decentralized health cooperatives; and (3) **regulatory disruption** to break the corporate monopoly on biometric data. Historical precedents like the *Tuskegee Syphilis Study* and *Henrietta Lacks* case show that without systemic accountability, even 'well-intentioned' wearable research risks repeating cycles of exploitation. The path forward demands **cross-cultural ethics boards**, **algorithmic justice audits**, and **publicly owned alternatives**—forcing a reckoning with how health data is extracted, who profits, and whose voices are silenced.