AI Safety & Alignment
Ensuring agentic systems remain beneficial, controllable, and aligned with human values at scale. Our research focuses on the unique challenges of autonomous agent coordination and oversight.
Research Focus Areas
Agent Alignment at Scale
Developing methods to ensure thousands of autonomous agents maintain consistent goals and values while operating independently.
- Multi-agent value alignment protocols
- Hierarchical oversight mechanisms for C-level → Manager → Worker agents
- Emergent behavior detection and correction
- Cross-departmental goal consistency
Interpretability & Transparency
Making agent decision-making processes understandable and auditable for human operators.
- Real-time agent reasoning visualization
- Explainable AI for agentic workflows
- Decision audit trails and provenance tracking
- Natural language explanations of agent actions
Safety Constraints & Boundaries
Defining and enforcing operational boundaries that prevent harmful or unintended agent behaviors.
- Constitutional AI for agent pods
- Sandbox environments for high-risk operations
- Automatic rollback and recovery systems
- Resource allocation limits and safeguards
Adversarial Robustness
Protecting agentic systems from manipulation, prompt injection, and other security threats.
- Prompt injection defense mechanisms
- Agent communication security protocols
- Anomaly detection in agent behavior
- Secure multi-party computation for sensitive operations
Key Publications
Hierarchical Value Alignment in Multi-Agent Systems
A framework for maintaining consistent values across hierarchical agent structures with thousands of autonomous workers.
Real-Time Interpretability for Agentic Workflows
Methods for generating human-understandable explanations of complex multi-agent decision-making processes.
Constitutional AI for Enterprise Agent Pods
Implementing constitutional constraints in coordinated agent systems for enhanced safety and reliability.
Collaborate with Us
We welcome collaboration with researchers, institutions, and organizations working on AI safety and alignment challenges.