Responsible AI

Responsible AI (RAI) focuses on developing and deploying artificial intelligence systems that are ethical, fair, transparent, and accountable. Current research emphasizes mitigating biases in models, particularly large language models (LLMs), improving model explainability and interpretability, and establishing robust frameworks for risk assessment and governance across diverse applications, including healthcare, education, and autonomous systems. This field is crucial for ensuring the safe and beneficial integration of AI into society, impacting both the development of trustworthy AI technologies and the creation of ethical guidelines for their use.