The release of internal documents reveals that federal agencies actively developed sophisticated facial recognition technology capable of identifying individuals from a distance using public surveillance footage. This secret research, funded by intelligence agencies and involving major defense entities, demonstrates a systematic effort to enhance capabilities for tracking people across various environments, including subway stations and outdoor markets. The technology was designed to process unconstrained imagery, effectively turning video evidence into a powerful tool for instant identification and cross-referencing. This revelation highlights a significant gap between public privacy protections and clandestine government preparedness. By creating tools that can bypass local bans on facial recognition through access to federal databases, the government has built the infrastructure for pervasive domestic surveillance. The existence of these capabilities suggests that the primary barrier to widespread deployment is not technological limitation, but rather a lack of political will or a triggering event that would justify such extensive intrusion into civil liberties. This article is critically relevant to open_data because it underscores the necessity of transparency initiatives like the Freedom of Information Act in exposing hidden government activities. It illustrates how open data access can uncover the true scope of state surveillance ambitions that are often obscured by official silence or vague statements about "responsible use." Without such disclosure, the public remains unaware of the extent to which their privacy is compromised by advanced algorithms developed in secrecy, emphasizing the role of data transparency in holding power accountable.
Source: techdirt.comPublished on 2023-03-15
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