Examining trust and agency in emotionalized AI through a 4E and biosemiotic lens: a case study of AI companionship in Japan
摘要
Artificial agents are not just replacing human efforts in the workplace, health care and finance. They are rapidly becoming surrogates for traditionally human-to-human coded relations. Where older chatbots could only follow simple pre-programmed sets of rules, handle very specific formulated prompts and in turn, respond with formulaic replies, the latest generation deploy advanced large language models, text-based emotion recognition algorithms, machine learning, voice capabilities and life-like avatars, allowing them to recall past conversations, remember important dates and produce fresh, contextual and nuanced interactions. Creators of artificial companions claim their products can address a person’s core psychological and emotional needs—feeling they are being listened to; that their opinions are being validated; that someone cares about them and are ready to provide non-judgmental 24/7 emotional support as well as pragmatic solutions for their problems (Mantello and Ho, AI Soc,