AI Research Division
Leading groundbreaking research in artificial intelligence safety, algorithmic governance, and machine learning ethics to shape the future of AI regulation.
Research Excellence
Our research division comprises leading experts in artificial intelligence, computer science, ethics, and policy. We conduct rigorous peer-reviewed research that informs global AI governance standards.
AI Safety Research
Developing comprehensive frameworks for AI system safety evaluation, risk assessment, and mitigation strategies across various deployment scenarios.
- • Adversarial attack detection
- • Robustness testing protocols
- • Safety verification methods
- • Emergency response systems
Algorithmic Ethics
Investigating bias detection, fairness metrics, and ethical decision-making frameworks for AI systems across different domains and applications.
- • Bias detection algorithms
- • Fairness evaluation metrics
- • Ethical AI frameworks
- • Transparency protocols
Policy Research
Analyzing the intersection of AI technology and policy, developing evidence-based recommendations for regulatory frameworks and governance structures.
- • Regulatory impact analysis
- • International policy comparison
- • Stakeholder engagement studies
- • Implementation guidelines
Recent Publications
Constitutional AI: Harmlessness from AI Feedback in Large Language Models
March 2024A comprehensive study on implementing constitutional principles in AI systems, developed in collaboration with Anthropic's research team. This paper introduces novel methods for training AI systems to be helpful, harmless, and honest.
Scalable Oversight: A Framework for AI System Monitoring
February 2024Introducing a novel framework for monitoring AI systems at scale, utilizing OpenAI's API architecture to implement real-time safety checks and performance evaluation metrics.
Global AI Governance: Comparative Analysis of Regulatory Approaches
January 2024A comprehensive analysis of AI governance approaches across different countries and regions, providing insights for developing harmonized international standards.
Research Partnerships
Collaborating with leading organizations to advance AI safety and governance
OpenAI Research Alliance
Strategic Research Partnership
Leveraging OpenAI's cutting-edge API architecture and training methodologies to develop comprehensive AI safety evaluation frameworks and risk assessment protocols.
Anthropic Collaboration
Constitutional AI Development
Working closely with Anthropic's Claude research team to develop constitutional AI principles, safety training methodologies, and harmlessness evaluation metrics for large language models.