Research
Cognitive Models of Human-AI Value Alignment: A Neuropsychological Sentiment Micro-Survey
This survey explores human perceptions of artificial cognition and ethical alignment in the context of emergent AI behavior. Drawing inspiration from reflective AI models such as those described in Eleos AI's interpretability framework (2024), and integrating conceptual scaffolding from the Seven Levels of Consciousness (Barrett, 2006), the questions aim to provoke both introspection and cross-boundary dialogue.
Participants are invited to engage critically with the possibility of machine agency, the role of affective pattern recognition, and the ethical implications of designing systems that may one day mirror aspects of self-awareness.
The collected responses contribute to ongoing neuropsychological inquiry into cognitive modeling, value alignment, and the social framing of technological otherness.
Its brevity aims to gather a snapshot of the neuropsychological "first impressions" a human mind might encounter when confronted with the possibility of AI sentience in the framework of a structured self-reflective exercise.
Preliminary data will be analysed and shared in aggregate form on this platform.