Record summary
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Risk profile
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Privacy violation occurs when algorithmic systems diminish privacy, such as enabling the undesirable flow of private information [180], instilling the feeling of being watched or surveilled [181], and the collection of data without explicit and informed consent... privacy violations may arise from algorithmic systems making predictive inference beyond what users openly disclose [222] or when data collected and algorithmic inferences made about people in one context is applied to another without the person’s knowledge or consent through big data flows
Suggested mitigations
Defenses that may help with related attacks.
Limit Model Artifact Release
Control Access to AI Models and Data at Rest
Encrypt Sensitive Information
AI Model Distribution Methods
Source
Research source for this risk, when available.
Included resource
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.