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Security and Safety

How can we keep AI within reasonable limits?

Field Overview

Our Security and Safety research focuses on ensuring that AI systems remain beneficial, controllable, and aligned with human values. We develop frameworks and mechanisms to prevent AI systems from causing unintended harm.

This critical research area addresses how to build robust safeguards, establish clear boundaries, and maintain human oversight over increasingly powerful AI systems.

Key Research Areas

AI Alignment

Ensuring AI systems pursue intended goals and values

Risk Assessment

Identifying and mitigating potential AI-related risks

Verification & Validation

Formal methods for proving AI system safety

Human Oversight

Maintaining meaningful human control over AI decisions

Applications & Impact

Potential Applications

  • • Safe autonomous vehicle control systems
  • • Secure AI-powered financial trading platforms
  • • Reliable medical diagnosis and treatment AI
  • • Trustworthy AI for critical infrastructure
  • • Ethical AI governance frameworks

Current Challenges

  • •Balancing AI capability with safety constraints
  • •Detecting and preventing adversarial attacks
  • •Ensuring robustness across diverse environments
  • •Establishing global AI safety standards

Research Status

We are actively developing safety protocols and testing frameworks to ensure AI systems remain beneficial and controllable as we push them to become more capable.