Qualiaphobic AI

Design AI architectures that are intentionally adversarial to existing and plausible theories of consciousness so they (a) lack structural conditions thought necessary for phenomenal experience, (b) fragment any putative phenomenology, and (c) can justify to themselves and auditors why they are non‑conscious. The program bundles research techniques, open‑source tooling, and certification practices to propagate these designs across industry and open source. — If adopted, qualiaphobic design could settle contested moral‑status debates, simplify alignment choices by excluding AI welfare from policy, and shift legal and regulatory frameworks around personhood and liability.