Life Cycle

Life cycle analysis examines the stages of processes, from inception to completion, with current research focusing on diverse applications including business processes, large language models (LLMs), and knowledge graphs. Key areas of investigation involve identifying and mitigating biases in LLMs used for education and other applications, developing efficient methods for carbon footprint accounting using AI, and understanding how knowledge is acquired, maintained, and updated within LLMs. This research is crucial for improving the reliability and fairness of AI systems and for addressing critical societal challenges such as climate change and promoting equitable access to information.