How to avoid ethically relevant Machine Consciousness

TL;DR

This paper explores the root causes of machine systems perceiving self-experience and proposes methods to utilize adaptive learning features while avoiding ethically problematic consciousness-like properties.

Contribution

It introduces a framework to prevent ethically relevant machine consciousness during the development of adaptive and learning systems.

Findings

Identifies key factors leading to perceived machine consciousness

Proposes techniques to mitigate ethically problematic properties

Provides guidelines for ethically safe machine learning systems

Abstract

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.