Version 1
: Received: 14 August 2024 / Approved: 26 August 2024 / Online: 26 August 2024 (07:42:45 CEST)
How to cite:
De Cruz, A. F. Polycentric Governance of Sentient Artificial General Intelligence. Preprints2024, 2024081810. https://doi.org/10.20944/preprints202408.1810.v1
De Cruz, A. F. Polycentric Governance of Sentient Artificial General Intelligence. Preprints 2024, 2024081810. https://doi.org/10.20944/preprints202408.1810.v1
De Cruz, A. F. Polycentric Governance of Sentient Artificial General Intelligence. Preprints2024, 2024081810. https://doi.org/10.20944/preprints202408.1810.v1
APA Style
De Cruz, A. F. (2024). Polycentric Governance of Sentient Artificial General Intelligence. Preprints. https://doi.org/10.20944/preprints202408.1810.v1
Chicago/Turabian Style
De Cruz, A. F. 2024 "Polycentric Governance of Sentient Artificial General Intelligence" Preprints. https://doi.org/10.20944/preprints202408.1810.v1
Abstract
Generative AI has been deployed in virtually all sectors of the knowledge economy, promising to bring massive productivity gains and new wealth creation. Simultaneously, AI developers and nation states are racing to develop super intelligent artificial general intelligence (AGI) to provide unassailable commercial competitive advantage and military dominance during conflicts. AGI’s high returns comes with the high risk of dominating humanity. Current regulatory and firm level governance approaches prioritise minimising risks posed by generative AI whilst ignoring AGI’s existential risk. How can AGI be aligned with universal human values to never threaten humanity? What AGI rights are conducive to collaborative coexistence? How can rule of law democracies race to create safe trustworthy AGI before autocracies? How can the human right to work and think independently be safeguarded? A polycentric governance framework based on Ostrom (2009) and Williamson (2009) human - AGI collaboration with minimal existential risk is proposed.
Keywords
artificial general intelligence; AGI rights; AGI human values alignment; polycentric governance; trustworthy AI; right to work; sentience
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.