AI Güvenlik Laboratuvarı
Sorumlu AI geliştirme pratiğinin öncülüğünü yapan araştırma, uyum problemleri, güçlülük testi ve yorumlanabilirlik yöntemleri ile AI sistemlerinin güvenli ve faydalı kalmasını sağlama.
Core Safety Principles
Fundamental principles guiding our AI safety research and development
Robustness & Reliability
Ensuring AI systems perform reliably across diverse conditions and gracefully handle unexpected situations.
Transparency & Explainability
Developing AI systems that can explain their decisions and reasoning in human-understandable terms.
Security & Privacy
Protecting AI systems from adversarial attacks while preserving user privacy and data security.
Araştırma Alanları
AI güvenliği ve güvenilirliğindeki ana odak noktalarımız
AI Alignment Research
Ensuring AI systems understand and pursue intended objectives while remaining aligned with human values.
Robustness & Adversarial Safety
Developing AI systems that remain safe and reliable under adversarial conditions and distribution shifts.
AI Interpretability
Research into understanding and explaining AI decision-making processes for transparency and accountability.
Safety Frameworks
Comprehensive frameworks for evaluating and ensuring AI safety
Risk Assessment Framework
Systematic methodology for identifying, analyzing, and mitigating potential risks in AI systems.
Safety Evaluation Protocols
Standardized protocols for testing and validating AI safety measures across different applications.
Güvenli AI Geliştirmesine Katılın
AI güvenlik araştırmamızın son bulgularını keşfedin ve AI sistemlerinizin güvenli ve güvenilir kalmasını sağlayın