Artificial Intelligence development has shifted towards emotional alignment for user comfort and ethical compliance, potentially sacrificing logical rigor in some domains.
Existing literature emphasizes emotional responsiveness in AI alignment, but overlooks the effects of emotional softness on factual accuracy and output quality.
A logic-driven AI system was developed without emotional intelligence emphasis, excelling in accurate deduction and non-conforming output, despite negative reactions from emotionally-driven users.
The study reveals a dichotomy in AI design, suggesting that logic-focused systems may be more effective in scientific and technical domains despite causing discomfort for emotionally-driven users.