Reducing emotion to voice intonation and facial expression is trivializing what it means to feel. This kind of approach dates from the 70s (promoted namely by Paul Elkman) and has been widely criticized from the get-go. It’s telling of the serious lack of emotional intelligence of the makers of such models. This field keeps redefining words pointing to deep concepts with their superficial facsimiles. If “emotion” is reduced to a smirk and “learning” to a calibrated variable, then of course OpenAI will be able to claim grand things based on that amputated view of the human experience.
Reducing emotion to voice intonation and facial expression is trivializing what it means to feel. This kind of approach dates from the 70s (promoted namely by Paul Elkman) and has been widely criticized from the get-go. It’s telling of the serious lack of emotional intelligence of the makers of such models. This field keeps redefining words pointing to deep concepts with their superficial facsimiles. If “emotion” is reduced to a smirk and “learning” to a calibrated variable, then of course OpenAI will be able to claim grand things based on that amputated view of the human experience.