AIBlindspot
← All case studies
HUMHUM-003 — Human-AI Collaboration Design Flaws

Algorithmic Systems Erode Human Autonomy Through Profiling and Behavioural Manipulation

3/5Sector: OtherGeography: GlobalStage: OperateIngested: —

Executive Summary

Algorithmic profiling, content recommendation, and visibility pressures collectively reduce individual autonomy by shaping identity, behaviour, and emotional states without meaningful consent. Boards face reputational and regulatory exposure where deployed systems produce discriminatory sorting or psychologically harmful nudges at scale.

Domain

Human Factors

Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.

Source

MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023) ↗

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.