Compassionate AI

Éditeurs invités

• Rajiv Kohli, William & Mary
• Meng Li, University of Houston
• Ting Li, Erasmus University Rotterdam
• Paul A. Pavlou, University of Miami

Synthèse

Synthèse non disponible. Consulter l'appel directement sur le site de l'éditeur.

Thèmes proposés

• Healthcare: Compassionate AI can enhance patient care by predicting adverse events, assisting with end-of-life decision-making, and providing emotional support to patients and families.
• Crisis Management: During natural disasters or emergencies, compassionate AI systems can analyze real-time data, such as social media posts, to identify distressed individuals and provide timely assistance.
• Education: AI systems can transform education by personalizing learning experiences and adapting instruction to meet diverse student needs.
• Social Services: Compassionate AI can support victims of trauma or abuse by offering non-judgmental, understanding virtual assistance.
• Customer Service: AI-powered chatbots can enhance customer experiences by providing compassionate and empathetic responses to inquiries.
• Human Resources: AI can monitor employee well-being by detecting signals of stress or burnout and proactively offering support resources.

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