AIBlindspot
← All case studies
DATDAT-002 — Data Privacy and Protection Failures

AI Systems Infringing Individual Privacy Through Data Collection and Inference

4/5Sector: OtherGeography: GlobalStage: OperateIngested: —

Executive Summary

AI systems risk violating privacy rights by collecting personal data, processing it beyond intended scope, and drawing sensitive inferences about individuals. Boards without pre-deployment disclosure standards face regulatory exposure and erosion of public trust.

Domain

Data Management

Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.

Source

MIT AI Risk Repository — AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures (Sherman2023) ↗

https://airisk.mit.edu/

Could this happen in your organisation?

A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.