Systemic privacy failures: How corporate monocultures obscure risks and marginalise dissent

Indigenous data governance frameworks, such as the CARE Principles (Collective Benefit, Authority to Control, Responsibility, and Ethics), redefine privacy as a communal right rather than an individual asset. These principles challenge the Western-centric model of privacy, which often treats data as a commodity to be commodified or protected by elites. The omission of such frameworks in tech discourse reflects a broader erasure of Indigenous epistemologies in digital governance.

Historical parallels abound, from colonial census data used to justify land theft to 20th-century eugenics programs enabled by 'scientific' data collection. The 1970s US COINTELPRO surveillance of Black activists and Indigenous groups demonstrates how privacy violations have long been tools of oppression. Modern privacy regimes often replicate these patterns, such as facial recognition systems trained on datasets excluding darker-skinned faces, leading to systemic misidentification.

Cross-cultural comparisons reveal that privacy is not a universal concept but a culturally constructed one. In Japan, privacy (*puraibashii*) is often secondary to social harmony (*wa*), while in Nordic countries, it is deeply tied to welfare state transparency. African traditions like Ubuntu emphasise communal privacy, where individual data is shared within trusted networks. These variations highlight the need for pluralistic privacy frameworks rather than one-size-fits-all Western models.

Scientific evidence shows that homogeneous teams are more likely to overlook risks in privacy-sensitive contexts, such as algorithmic bias in hiring tools or misgendering in facial recognition. Studies on the 'diversity dividend' in tech demonstrate that teams with varied lived experiences identify 35% more edge cases in privacy audits. Yet, the tech industry's reliance on algorithmic hiring tools often perpetuates homogeneity, undermining these benefits.

Artistic and spiritual traditions often frame privacy as sacred, such as the Islamic concept of *awrah* (modesty) or Buddhist teachings on right speech. Indigenous storytelling traditions, like the Māori *waiata* (songs), encode communal knowledge while protecting sacred narratives. These perspectives challenge the commodification of data, urging a return to privacy as a spiritual and communal practice rather than a transactional right.

Future scenarios must account for the rise of decentralised privacy models, such as blockchain-based consent mechanisms or federated learning, which prioritise user control. However, these models risk replicating existing power imbalances if not co-designed with marginalised communities. Scenario planning should also explore 'privacy deserts'—regions where surveillance capitalism thrives due to lack of regulatory oversight, such as in post-colonial states.

Marginalised voices—including sex workers, undocumented migrants, and Indigenous peoples—are systematically excluded from privacy policy discussions despite facing disproportionate surveillance. Their exclusion is not accidental but structural, as tech elites often view their needs as 'niche' rather than foundational. Amplifying these voices requires dismantling the gatekeeping role of industry-dominated bodies like the IAPP.