Noise Robustness and Conscious Supremacy
AAAI Spring Symposia May 18, 2026 DOI: 10.1609/aaaiss.v8i1.42557 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that noise robustness in biological neural networks may correlate with 'conscious supremacy,' where the brain outperforms classical computers in noisy environments. Proposes that studying this could enhance AI capabilities and possibly lead to artificial consciousness, with implications for AI alignment. |
Abstract
It is of interest whether artificial intelligence systems can emulate conscious information processing of the human brain. Here I discuss the aspects of conscious computation leading to artificial consciousness. One of the salient differences between biological neural networks and digital computers is the ubiquitous presence of noise in the former. I outline how noise robustness could correlate with conscious supremacy, where the brain exhibits computational capabilities excelling over classical computers, particularly in the presence of noise. Studying noise robustness and conscious supremacy in biological neural networks would help develop artificial intelligence systems of enhanced computational capabilities, with possible emergence of artificial consciousness, and implications for AI alignment.