Principles for Responsible AI Consciousness Research

TL;DR

This paper discusses the ethical and practical implications of AI consciousness, proposing five principles to guide responsible research, deployment, and communication to address moral considerations and prevent inadvertent creation of conscious AI.

Contribution

It introduces a set of five principles for responsible AI consciousness research, emphasizing ethical guidelines for organizations involved in AI development and communication.

Findings

Proposes five principles for responsible AI consciousness research.

Highlights the importance of ethical policies in AI development.

Encourages voluntary public commitments by research organizations.

Abstract

Recent research suggests that it may be possible to build conscious AI systems now or in the near future. Conscious AI systems would arguably deserve moral consideration, and it may be the case that large numbers of conscious systems could be created and caused to suffer. Furthermore, AI systems or AI-generated characters may increasingly give the impression of being conscious, leading to debate about their moral status. Organisations involved in AI research must establish principles and policies to guide research and deployment choices and public communication concerning consciousness. Even if an organisation chooses not to study AI consciousness as such, it will still need policies in place, as those developing advanced AI systems risk inadvertently creating conscious entities. Responsible research and deployment practices are essential to address this possibility. We propose five principles for responsible research and argue that research organisations should make voluntary, public commitments to principles on these lines. Our principles concern research objectives and procedures, knowledge sharing and public communications.