You Still See Me: How Data Protection Supports the Architecture of ML Surveillance

Data forms the backbone of machine learning. Thus, data protection law has strong bearing on how ML systems are governed. Given that most requirements accompany the processing of personal data, organizations have an incentive to keep their data out of legal scope. Privacy-preserving techniques incentivized by data protection law -- data protection techniques -- constitute an important strategy for ML development because they are used to distill data until it potentially falls outside the scope of data protection laws.
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architecture cs.cr cs.cy data data protection data protection law forms law legal machine machine learning organizations personal personal data privacy protection requirements scope surveillance systems techniques