Skip to content

Qualia Skepticism in Schooling and Deontic Safeguards for Consciousness-Like AI in Education

Ashraf Alam

Advances in Computational Intelligence and Robotics December 12, 2025 DOI: 10.4018/979-8-3373-5530-6.ch003 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes a "simulation first framework" for AI in education that preserves human primacy by separating functional mimicry from phenomenal realization and implementing a federated governance architecture.

Abstract

Drawing on philosophy of mind, learning sciences, and sociotechnical governance, this chapter advances a simulation first framework that harvests instructional dividends of AI while preserving human primacy. We codify ontological hygiene that separates functional mimicry from phenomenal realization, define discursive and interface semantics that calibrate trust, and supply evaluation matrices linking mastery, transfer, and calibration to safety and equity. Embodiment and presence function as sensorimotor scaffolds that boost throughput without licensing personification; affective computing is bounded by opt in consent, uncertainty disclosure, and human verification. A federated governance architecture operationalizes transparency, consent, model risk, and fairness through auditable controls, stop rules, and incident forensics. The result is a portable, evidence aligned playbook that converts contested metaphysics into reproducible classroom routines and policy in diverse contexts.

Citations in the library

Explore topics