AI Ethics & Safety

AI ethics researches moral constraints, social impacts and risk control of artificial intelligence deployment.

Algorithm Bias & Fairness

Training data may carry historical discrimination, leading model output unfair results in recruitment, credit evaluation and judicial scenarios.

User Data Privacy

Large models collect massive user input text; leakage, memorization and unauthorized data usage bring privacy risks.

International AI Regulation

Countries and regions have launched AI acts, classification management for general-purpose large models and high-risk AI applications.

Long-term AGI Safety

Research on preventing superintelligent systems from misaligning with human values, avoiding irreversible global risks.