AIBlindspot
← All case studies
SECSEC-002 — Data Poisoning Attack Risks

Capability Enhancements That Amplify AI Misalignment Risk

5/5Sector: OtherGeography: GlobalStage: DevelopIngested: —

Executive Summary

Features designed to improve AI performance in real-world settings can simultaneously worsen misalignment, turning capability gains into systemic hazards. Boards deploying advanced AI must assess whether enhancement investments inadvertently accelerate loss of human oversight and control.

Domain

Security & Privacy

Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.

Source

MIT AI Risk Repository — AI Alignment: A Comprehensive Survey (Ji2023) ↗

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.