DATDAT-002 — Data Privacy and Protection FailuresNew
AI Systems Leaking Sensitive Personal and Financial Data in Model Outputs
4/5Sector: FinanceGeography: GlobalStage: OperateIngested: —
Executive Summary
Registered access
This case is from the last 90 days.
Recent classified cases are reserved for registered users. Sign up free to read full executive summaries, see live Risk Index scoring, and run one Test Your Use Case scorecard a day.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 48 blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.