Machine learning/natural language processing and emotions: Some ethical considerations

This article examines how machine learning and natural language processing impact human emotional development. The main thesis is that a reciprocal relationship exists by programming machines with specific causal categories, we shape how they interact with us, and in turn, these machines influence human environments and emotional experiences. This mutual shaping can encourage reductionist views by both humans and machines. To address ethical concerns arising from this interaction, we emphasize the need to recognize the context and relativity of emotion recognition technology. Emotions are inherently indeterminate and cannot be fully captured by any single framework.