scholarly journals Safe Artificial General Intelligence via Distributed Ledger Technology

2019 ◽  
Vol 3 (3) ◽  
pp. 40
Author(s):  
Kristen W. Carlson

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.

Author(s):  
Kristen Carlson

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. I propose a set of logically distinct conceptual components 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 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.


2019 ◽  
Author(s):  
Gabriel Axel Montes ◽  
Ben Goertzel

The accelerating pace of development in artificial intelligence invokes fundamental questions regarding what constitutes a mind. Considering that AI has sprung from the cognitive enterprise of humanity and that there is the likely prospect of constructing some form of 'global brain', examining such questions may help to refine the conversation around AI and understand what might constitute a global brain. We draw on recent work in philosophy of mind and cognition—viewing mind as being representational and/or enactive in nature and function—, and hone in on insights that practices and accounts of non-ordinary consciousness (NOC) lend to this discussion. We discuss the concept of a "mindplex", which is comprised of individual constituents (humans and/or AI's) and an encompassing collective global brain that both concurrently possess cohesive 'theatres of consciousness'. We posit that these theatres of an AGI global brain have correspondences with key aspects of the inherent nature of consciousness and reality (as understood outside the AI context) as gleaned through NOC. We propose that these considerations are poised to strongly contribute to the construction of mindplexes by reflecting in their functional architecture the nature of mind and engineering mindplexes in tandem with ethical and value-alignment considerations. Furthermore, we propose the adoption and implementation of AI on distributed ledger technology (DLT), such as blockchain, which would provide support for the evolution of a global brain mindplex.


2021 ◽  
Vol 190 ◽  
pp. 571-581
Author(s):  
Seryozha E. Melkonyan ◽  
Natali A. Galoyan ◽  
Anna N. Norkina ◽  
Pavel Yu. Leonov

Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 89
Author(s):  
Annegret Henninger ◽  
Atefeh Mashatan

The global supply chain is a network of interconnected processes that create, use, and exchange records, but which were not designed to interact with one another. As such, the key to unlocking the full potential of supply chain management (SCM) technologies is achieving interoperability across participating records systems and networks. We review existing research and solutions using distributed ledger technology (DLT) and provide a survey of its current state of practice. We additionally propose a holistic solution: a DLT-based interoperable future state that could enable the interoperable, efficient, reliable, and secure exchange of records with integrity. Finally, we provide a gap analysis between our proposed future state and the current state, which also serves as a gap analysis for many fractional DLT-based SCM solutions and research.


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