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projectThe Digital Sensitivity Review (DSR) System uses machine learning to automatically identify potentially sensitive content patterns and suggest redactions for reviewer approval.
This information was sourced from "Digital Sensitivity Review (DSR) System" by AI.GOV.UK, https://ai.gov.uk/knowledge-hub/tools/digital-sensitivity-review-(dsr)-system/?directTo=library. Licensed under Open Government Licence v3.0.
The FCDO faced the critical challenge of reviewing massive volumes of government documents for sensitivity before public release to The National Archives, with the exponential growth in digital technologies creating an overwhelming increase in files requiring review that threatened to surpass the capacity of traditional manual review processes.
The Digital Sensitivity Review (DSR) System uses machine learning to automatically identify potentially sensitive content patterns and suggest redactions for reviewer approval. The AI-powered system was trained on past reviewer decisions and guidance, enabling it to pre-identify areas of known sensitivity while maintaining human oversight for complex cases requiring judgment.
Operational since April 2019, with development since 2018, the DSR System has delivered significant efficiency and risk reduction improvements:
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