A Review of Ethical Challenges in Emotionally Intelligent Large Language Models
Author(s): Yash Agrawal
Publication #: 2510004
Date of Publication: 09.06.2024
Country: United States
Pages: 1-6
Published In: Volume 10 Issue 3 June-2024
Abstract
Large language models are increasingly presented as emotionally intelligent systems that can adjust tone and mimic empathy in healthcare, education, customer service, and companionship. These advances promise greater accessibility, engagement, and affordable support, but they also raise important ethical concerns. Can machine-generated empathy be considered genuine, and what are the risks when people form attachments, share personal emotions, or depend on these systems during moments of crisis? This paper reviews current progress in emotionally responsive LLMs, highlights key ethical challenges such as authenticity, manipulation, dependency, bias, and privacy, and identifies critical gaps in evaluation, regulation, and cultural inclusivity. Without thoughtful design and safeguards, emotionally intelligent AI may reinforce bias, encourage unhealthy reliance, and enable new forms of emotional exploitation.
Keywords: Emotionally intelligent artificial intelligence, affective computing, empathy simulation, emotional AI, ethical AI, emotional data privacy, cultural bias, human- AI interaction, responsible design,psychological well-being.
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