Research Interests
I am generally interested in AI foundational models, Ethics, Safety and Governance of AI. My current research interests focus on the following directions:
- Safety, Ethics, Governance of AI.
- Human-AI Super Co-alignment.
- Brain and mind inspired Cognitive AI Models.
- Brain-inspired Cognitive and Neural Robotics.
- AI for Sustainable Development.
- AI for International Peace and Security.
The goal for my research is to propose and implement AI models and agents that can live in harmony with human and ecology.
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired neural network based platform for realizing Brain-inspired Artificial Intelligence, and simulating the cognitive brains of different animal species at multiple scales. The ultimate goal and long term efforts of BrainCog is to provide a comprehensive theory and systems to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living machines in human-machine society.
BORN is an Artificial Intelligence Engine based on Brain-inspired Spiking Neural Networks. The ultimate vision of BORN is to achieve living Artificial General Intelligence, as a new type of evolutionary becoming, and as a moral member of the future symbiotic society. The near term goal of BORN is a self enabled learning AI powered by spiking neural networks that can coordinate various cognitive functions in a self organized way to solve complex problems. BORN is powered by BrainCog, the Brain-inspired Cognitive Intelligence Engine.
Linked Brain Data (LBD) is an effort for extracting, integrating, linking and analyzing Brain data and knowledge from multiple scale and multiple data sources and support comprehensive understandings of the brain. LBD is proud to present the association graph among various cognitive functions, brain diseases and their relationships to brain building blocks at multiple scales. This association graph provide inspirations for future Neuroscience and Brain-inspired Intelligence research.
Recent Projects
- Pandaguard: AI Safety Evaluation Framework and Platform (2025.5-) [Principle Investigator]
- Brain-inspired Cognitive Intelligence Engine (2013.6-) [Principle Investigator]
- Linked Brain Data : A large-scale, multi-modal brain knowledge base (2013.7 -) [Principle Investigator]
- Harmonious Artificial Intelligence Principles [2018.7-] [Principle Investigator]
- Linking Artificial Intelligence Principles (2018.10-) [Principle Investigator]
- Artificial Intelligence Governance Online (2020.7-) [Principle Investigator]
- AI for Sustainable Development Goals Think Tank (2020.6-) [Founder and Director]
Teaching
- Ethics and Governance of Artificial Intelligence [2023-2025], Shwarzman Scholars, Tsinghua University
- Philosophy and Ethics of Artificial Intelligence [2018-2023], University of Chinese Academy of Sciences
- Introduction to Brain-inspired Intelligence [2017-2021], University of Chinese Academy of Sciences
- System and Computational Neuroscience [2018], University of Chinese Academy of Sciences
