AI Safety Research Volunteer Healthcare AI Failure Modes (Remote)

Key Responsibilities

• Identify and analyze healthcare-specific and general AI failure modes.
• Research documented AI system failures and assess deployment/operational risks.
• Categorize AI model types associated with failures.
• Document deployment conditions and recurring failure environments.
• Enter structured findings into standardized research systems (shared spreadsheets, etc.).
• Support the production of research outputs and mitigation strategies.
• Participate in collaborative, iterative feedback loops to maintain high accuracy.

Requirements & Skills

• Preferred Candidates: Graduate students, recent graduates, research assistants, or technically/clinically oriented contributors.
• Essential Traits: Detail-oriented and highly organized, able to follow structured directions and work independently, responsive, reliable, and capable of adapting to evolving processes.
• Preferred Backgrounds & Technical Focus Domains: AI/ML, Healthcare, Biomedical Engineering, Computer Science, Cybersecurity, Medical Research, Public Health, Neuroscience, Data Science, or Policy/Governance.
• Science Technical Experience (Especially Encouraged): Computer Vision, Signal Processing & Sensor Systems, Medical Imaging, Real-time AI Systems, Adversarial AI/ML.

Benefits for Volunteers

• Exposure to emerging AI safety research.
• Structured research experience and interdisciplinary AI/healthcare exposure.
• Opportunities for publication-oriented collaboration.
• Mentorship and operational research experience.
• Hands-on skills in a rapidly growing field shaping the future of healthcare and technology.