Met Police’s Palantir AI surveillance reveals systemic officer misconduct amid unchecked tech proliferation

Indigenous critiques of policing emphasize that AI surveillance tools like Palantir are extensions of settler-colonial logics, where data collection and enforcement are used to maintain control over marginalized populations. Traditional knowledge systems, such as those of the Māori or Lakota, prioritize restorative justice over punitive surveillance, offering alternatives to algorithmic policing. The Met’s deployment ignores these frameworks, instead reinforcing a colonial model of policing that treats dissent as a data anomaly to be suppressed.

The Met’s AI deployment echoes 19th-century 'scientific policing' movements that used data to justify racialized enforcement, such as the Bertillon system in France or fingerprint databases in British colonies. Palantir’s software mirrors tools used by authoritarian regimes (e.g., Turkey’s AKP, India’s BJP) to monitor dissidents, suggesting a historical continuity of tech-enabled repression. The Met’s 'week-long sweep' is reminiscent of historical 'cleansing' operations, where temporary crackdowns are used to legitimize permanent surveillance infrastructures.

In Brazil, the 'Pacifying Police Units' (UPPs) used data-driven policing to justify militarized control in favelas, leading to widespread abuses—a cautionary tale for the Met’s AI tool. Palestinian digital rights groups have documented how Israeli occupation forces use AI to target activists, paralleling Palantir’s role in ICE deportations. These cases reveal a global pattern where 'neutral' tech tools are weaponized against marginalized communities, often with corporate complicity.

Studies show predictive policing algorithms (e.g., PredPol) exhibit racial bias, over-policing Black and Latino neighborhoods by 2-4x compared to white areas for similar crimes. Palantir’s Gotham platform has been criticized for lacking explainability, with audits finding its models rely on biased training data and opaque feature selection. The Met’s deployment lacks peer-reviewed validation, instead relying on proprietary software with no independent oversight—a red flag for scientific rigor.

Artists like Trevor Paglen have exposed the aesthetic of surveillance capitalism, where Palantir’s interfaces mimic sci-fi dystopias to normalize invasive monitoring. Spiritual traditions, such as Buddhist teachings on 'right action,' critique punitive systems that prioritize control over compassion, offering a counter-framework to AI-driven enforcement. The Met’s tool reduces human behavior to data points, erasing the spiritual and emotional dimensions of justice and accountability.

If unchecked, Palantir’s expansion into policing could lead to real-time predictive enforcement, where officers are flagged for 'pre-crime' behaviors before any infraction occurs. This risks creating a feedback loop where algorithmic bias entrenches systemic discrimination, as seen in Chicago’s 'Heat List' program, which disproportionately targeted Black youth. Future scenarios include corporate-owned policing, where tech firms dictate enforcement priorities for profit, further privatizing public safety.

Black and minority officers are disproportionately flagged by Palantir’s tool for minor infractions, reinforcing internal hierarchies and justifying their exclusion from leadership roles. Community groups, such as the UK’s Netpol, argue that AI policing exacerbates distrust between marginalized communities and law enforcement, as seen in cases like the wrongful targeting of Muslim activists. The Met’s investigations focus on 'rule-breaking' without addressing the structural racism that shapes policing norms, silencing those most affected by its harms.