How to avoid ethically relevant Machine Consciousness
This tackles the ethical risks of machine consciousness for AI developers and society, but it appears incremental as it builds on existing discussions without introducing a new paradigm.
The paper addresses the problem of preventing ethically problematic properties in machine consciousness by analyzing the root causes of self-experience perception in systems and proposing methods to exploit adaptive and learning features while avoiding such issues.
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.