Principles for Responsible AI Consciousness Research
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 14 of its 64 references that are in the map. First posted on arXiv 13 Jan 2025.
Builds on
14 of 64 references.
References · 14
- 2021Perceiver: General Perception with Iterative Attentioncited by 1,089
- 2021Perceiver IO: A General Architecture for Structured Inputs & Outputscited by 616
- 2023Model evaluation for extreme riskscited by 167
- 2017The Consciousness Priorcited by 105
- 2024The Ethics of Advanced AI Assistantscited by 103
- 2022Is Power-Seeking AI an Existential Risk?cited by 101
- 2023Consciousness in Artificial Intelligence: Insights from the Science of Consciousnesscited by 99
- 2023Could a Large Language Model be Conscious?cited by 70
- 2023A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspectivecited by 33
- 2024Simulacra as Conscious Exoticacited by 16
- 2016Superintelligence cannot be contained: Lessons from Computability Theorycited by 13
- 2018The Jiminy Advisor: Moral Agreements Among Stakeholders Based on Norms and Argumentationcited by 4
2 more
- 2023Attention Schema in Neural Agentscited by 4
- 2022Negative Human Rights as a Basis for Long-term AI Safety and Regulationcited by 3
Built on by
Citing papers per year: 2025: 3; 2026: 3.
6 papers.
- 2025Agentic Knowledgeable Self-awarenesscited by 8
- 2025What Do LLM Agents Do When Left Alone? Evidence of Spontaneous Meta-Cognitive Patternscited by 3
- 2026AI and Consciousness: Shifting Focus Towards Tractable Questionscited by 1
- 2025AI Consciousness and Existential Riskcited by 0
- 2026The Sentience Readiness Index: A Preliminary Framework for Measuring National Preparedness for the Possibility of Artificial Sentiencecited by 0
- 2026The Pain Axis: LLMs Represent Self-Directed Harm and Act on Itcited by 0
- 2026The Pain Axis: LLMs Represent Self-Directed Harm and Act on It14 Sep 2026
- 2026AI and Consciousness: Shifting Focus Towards Tractable Questions7 May 2026
- 2026The Sentience Readiness Index: A Preliminary Framework for Measuring National Preparedness for the Possibility of Artificial Sentience2 Mar 2026
- 2025AI Consciousness and Existential Risk24 Nov 2025
- 2025What Do LLM Agents Do When Left Alone? Evidence of Spontaneous Meta-Cognitive Patterns25 Sep 2025
- 2025Agentic Knowledgeable Self-awareness4 Apr 2025