AI Safety
Building reliable and ethical AI systems for a safer future
Safety Research
Our AI safety research focuses on developing robust methodologies and frameworks to ensure AI systems are reliable, transparent, and aligned with human values. We combine theoretical foundations with practical implementations to create safer AI technologies.
Robustness & Safety
Developing AI systems that maintain reliable and safe operation across diverse scenarios.
Risk Assessment
Comprehensive evaluation of potential risks and failure modes in AI systems.
Ethical AI
Ensuring AI development adheres to ethical principles and societal values.
Human Alignment
Aligning AI systems with human values and intentions through advanced techniques.
Interpretability
Making AI decision-making processes transparent and understandable.
Verification
Rigorous testing and verification of AI system safety properties.