Research Ethic

Research ethics in artificial intelligence, particularly concerning large language models (LLMs) and generative AI, focuses on ensuring responsible development and deployment. Current research emphasizes mitigating biases, safeguarding privacy, and establishing clear ethical guidelines for data collection and model usage, often employing techniques like retrieval-augmented generation and ethics-by-design approaches. This work is crucial for building trust in AI systems and preventing misuse across diverse applications, from healthcare to cybersecurity and scientific research itself.