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AAAI 2026official proceedings

Conversational AI for Social Good (CAI4SG): An Overview of Emerging Trends, Applications, and Challenges

Yi-Chieh Lee, Junti Zhang, Tianqi Song, Yugin Tan

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1609/aaai.v40i48.42131 ↗

摘要

The integration of Conversational Agents (CAs) into daily life offers opportunities to tackle global challenges, leading to the emergence of Conversational AI for Social Good (CAI4SG). This paper examines the advancements of CAI4SG using a role-based framework that categorizes systems according to their AI autonomy and emotional engagement. This framework emphasizes the importance of considering the role of CAs in social good contexts, such as serving as empathetic supporters in mental health or functioning as assistants for accessibility. Additionally, exploring the deployment of CAs in various roles raises unique challenges, including algorithmic bias, data privacy, and potential socio-technical harms. These issues can differ based on the CA's role and level of engagement. This paper provides an overview of the current landscape, offering a role-based understanding that can guide future research and design aimed at the equitable, ethical, and effective development of CAI4SG.