How to avoid ethically relevant Machine Consciousness
This paper discusses the root cause of systems perceiving the self experience and how to exploit adaptive and learning features without introducing ethically problematic system properties.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Informed Consent for AI Consciousness Research: A Talmudic Framework for Graduated Protections
Artificial intelligence research faces a critical ethical paradox: determining whether AI systems are conscious requires experiments that may harm entities whose moral status remains uncertain. Recent work proposes avoid…
Legal ReasoningWhen Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty
Existing frameworks assess whether AI systems might be conscious but provide no guidance on what to do with that assessment. We address this gap with a precautionary framework that maps consciousness evidence to graduate…
Canonical Functionalism: Defining Functional Structure without Observer-Relative Semantic Maps
Computational functionalism about consciousness is often criticized for relying on observer-relative interpretations of physical systems. This paper proposes a mathematical refinement of functionalism that avoids this pr…
The Morphospace of Consciousness
We construct a complexity-based morphospace to study systems-level properties of conscious & intelligent systems. The axes of this space label 3 complexity types: autonomous, cognitive & social. Given recent proposals to…
If consciousness is dynamically relevant, artificial intelligence isn't conscious
We demonstrate that if consciousness is relevant for the temporal evolution of a system's states--that is, if it is dynamically relevant--then AI systems cannot be conscious. That is because AI systems run on CPUs, GPUs,…