Ethical Framework

Ethical frameworks for artificial intelligence (AI), particularly large language models (LLMs) and their applications in healthcare, are a central focus of current research. Studies are investigating how to incorporate ethical considerations—such as fairness, privacy, transparency, and accountability—into AI design and deployment, often comparing different philosophical approaches (e.g., utilitarianism, deontology) and their implications for decision-making. This work is crucial for mitigating potential harms and ensuring responsible AI development across various sectors, impacting both the trustworthiness of AI systems and the development of robust governance structures. The ultimate goal is to create AI that aligns with human values and promotes beneficial societal outcomes.