The Lost Self in AI: Moving Beyond Behavior to Embrace Human Identity
As artificial intelligence (AI) advances, it often reduces human beings to mere data points— behaviors, preferences, and interactions. This paper challenges this reductive approach and proposes a new paradigm centered on individual identity. The Tempera Bio-Metric (TBM) framework, pioneered by Hamidreza Sheikh Roshandel, provides a method to map the unique interplay of temperament and personality through bio-energetic and emotional dimensions. Expanding on this, the author introduces Venom AI, an identity-aware AI designed to serve as a personalized guide rather than a generic tool. Unlike behavior-based models, Venom AI aligns with a user’s TBM identity code, delivering emotionally and ethically sensitive support across personal, academic, and professional domains. This paper presents Venom AI as a transformative shift in human-AI interactions, moving from predictive analytics to meaningful, identity-driven engagement.
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