Safe Artificial General Intelligence via Distributed Ledger Technology

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Abstract

Artificial general intelligence (AGI) progression metrics indicate AGI will occur within decades. No proof exists that AGI will benefit humans and not harm or eliminate humans. A set of logically distinct conceptual components is proposed that are necessary and sufficient to (1) ensure various AGI scenarios will not harm humanity, and (2) robustly align AGI and human values and goals. By systematically addressing pathways to malevolent AI we can induce the methods/axioms required to redress them. Distributed ledger technology (DLT, “blockchain”) is integral to this proposal, e.g., “smart contracts” are necessary to address the evolution of AI that will be too fast for human monitoring and intervention. The proposed axioms: (1) Access to technology by market license. (2) Transparent ethics embodied in DLT. (3) Morality encrypted via DLT. (4) Behavior control structure with values at roots. (5) Individual bar-code identification of critical components. (6) Configuration Item (from business continuity/disaster recovery planning). (7) Identity verification secured via DLT. (8) “Smart” automated contracts based on DLT. (9) Decentralized applications—AI software modules encrypted via DLT. (10) Audit trail of component usage stored via DLT. (11) Social ostracism (denial of resources) augmented by DLT petitions. (12) Game theory and mechanism design.

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Contributors

Kristen W. Carlson: (View ORCID Profile)

Journal

Journal ID (publisher-id): BDCCAG

Title: Big Data and Cognitive Computing

Abbreviated Title: BDCC

Publisher: MDPI AG

ISSN (Electronic): 2504-2289

Publication date Created: September 2019

Publication date (Electronic): July 08 2019

Volume: 3

Issue: 3

Page: 40

Article

DOI: 10.3390/bdcc3030040

SO-VID: d8e7c888-c2f0-407d-93b9-539834f0bbce

License:

https://creativecommons.org/licenses/by/4.0/

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