They Deployed Health AI on Us: We’re Bringing the Rights & Red Teams

Deployment of AI in Clinical Healthcare

Artificial intelligence models, diagnostic algorithms, and clinical chatbots are rapidly being deployed across healthcare environments. However, many systems enter clinical workflows without rigorous independent testing, patient consent, or comprehensive algorithmic auditing.

The Patient AI Rights Framework

The Patient AI Rights Initiative establishes a patient-authored ethical framework defining core rights regarding health data privacy, algorithmic transparency, and protection against automated clinical harm.

Community Red Teaming for Health AI

Applying offensive security testing methodologies to healthcare AI involves systematically evaluating models for failure modes, algorithmic bias, prompt injection vulnerabilities, and unauthorized data leakage from patient records.

Building an Open-Source Health AI Red Team Toolkit

Developing community-driven evaluation toolkits empowers security researchers, bioethicists, and patient advocates to audit clinical AI implementations and advocate for robust safety guardrails.