Meta’s AI Smart Glasses Amplify Surveillance Capitalism, Risking Marginalised Groups Under Structural Impunity

Indigenous epistemologies reject the commodification of human features as data, framing facial recognition as a violation of the interconnectedness of being and land. Traditional knowledge systems in the Amazon and Arctic have long used non-extractive ways to identify individuals (e.g., oral histories, kinship networks) that resist quantification. The push for biometric surveillance mirrors the colonial project of categorising and controlling Indigenous bodies, as seen in 19th-century anthropometry. Meta’s glasses are not an innovation but a continuation of extractive logic that treats people as resources to be mined.

The history of facial recognition is intertwined with state violence, from 19th-century mugshots used to criminalise the poor to apartheid-era passbooks in South Africa. The FBI’s Next Generation Identification system, which includes facial recognition, has been used to target Black activists, while China’s social credit system demonstrates how such tools enable authoritarian control. Meta’s smart glasses are a consumer iteration of military-grade surveillance tech, echoing the dual-use nature of innovations like GPS or drones. The pattern is clear: surveillance tools are first tested on marginalised groups before being normalised for the general population.

In Japan, the concept of 'meiwaku' (avoiding causing trouble) has led to cultural resistance against facial recognition in public spaces, with some businesses opting out to respect privacy norms. African feminist scholars critique biometric systems as neocolonial tools that reinforce extractive economies, while Indigenous scholars in Canada and Australia highlight how such tech disrupts traditional kinship-based governance. The Global South’s experiences with biometric ID systems (e.g., Nigeria’s BVN, Kenya’s Huduma Namba) reveal how 'efficiency' often masks exclusion and state violence. Meta’s glasses are a Trojan horse for cultural erasure, imposing Western surveillance paradigms on diverse worldviews.

Facial recognition algorithms exhibit racial and gender bias, with error rates up to 35% for darker-skinned women compared to 0.8% for lighter-skinned men, as documented by MIT and NIST studies. The technology’s reliance on flawed datasets (e.g., predominantly white, male faces) perpetuates systemic discrimination, as seen in misidentifications leading to wrongful arrests. Meta’s AI lacks transparency in its training data and fails to address the 'replication crisis' in AI ethics, where solutions are proposed without addressing root causes. The scientific consensus is clear: facial recognition is not merely inaccurate but actively harmful to marginalised groups.

Artists like Trevor Paglen and Hito Steyerl have long exposed the dehumanising nature of surveillance, framing facial recognition as a tool of abstraction that reduces people to data points. Indigenous artists such as Kent Monkman and Rebecca Belmore use their work to critique the violence of categorisation, while Afrofuturist writers like Octavia Butler imagine worlds where surveillance is resisted through communal memory. The spiritual dimension of this issue lies in the commodification of the soul—where human essence is reduced to a binary code. Meta’s glasses are not just a product but a sacrilege against the sacredness of human identity.

If unchecked, Meta’s smart glasses could normalise real-time biometric tracking in all public spaces, enabling predictive policing and dynamic pricing based on perceived identity. Scenario modelling suggests a future where such tech is embedded in smart cities, with 'trust scores' determining access to services—a dystopia already emerging in China. The long-term risk is the erosion of anonymity, which is foundational to democratic dissent and personal autonomy. Without preemptive regulation, we may see a bifurcated society where those with resources can opt out of surveillance, while the marginalised are trapped in a panopticon.

Sex workers in Europe and Asia have developed counter-surveillance strategies like 'face-veiling' and digital camouflage to evade facial recognition, but these are criminalised as 'obstruction of justice.' LGBTQ+ communities in the Global South use analogue methods (e.g., avoiding geotagging) to protect themselves from state persecution, yet these are dismissed as 'paranoia' in Western tech discourse. Undocumented migrants in the US rely on community networks to avoid biometric databases, but these networks are targeted by ICE’s use of facial recognition. The framing of 'vulnerable groups' as passive ignores their existing resistance and demands for structural change.