Societal Domain

Societal domain research investigates the multifaceted interactions between artificial intelligence (AI) systems and society, aiming to understand and mitigate potential negative impacts while maximizing benefits. Current research focuses on analyzing AI's influence on various societal aspects, including bias, fairness, and economic inequality, often employing agent-based models, large language models (LLMs), and contextual multi-armed bandit algorithms to study social dynamics and AI's role in shaping them. This field is crucial for developing ethical AI guidelines, informing policy decisions, and ensuring responsible AI development and deployment across sectors like healthcare, finance, and law, ultimately contributing to a more equitable and beneficial integration of AI into society.