Abstract
To build a safe system that would replicate and perhaps transcend human-level intelligence, three basic modules: objective, agent, and perception are proposed for development. The objective module would ensure that the system acts in humanity’s interest, not against it. It would have two components: a network of machine learning agents to address the problem of value alignment and a distributed ledger to propose a mechanism to mitigate the existential threat. The agent module would further develop the Dyna concept and benefit from a treatise in sociology to build the missing link of artificial general intelligence, a world simulator. The perception module would estimate the state of the world and benefit from existing machine learning algorithms enhanced by a new paradigm in hardware design, a quantum computer. This paper describes a way in which such a system could be built, analyzing the current state of the art and providing alternative directions for research rather than concrete, industry-ready solutions.
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Acknowledgment
This research was partially supported by Innovation Norway, the Norwegian Government’s most important instrument for innovation and development of Norwegian enterprises and industry.
The paper author thanks colleagues from Psiterra, Romanian Narrative Therapy Association who provided insight and expertise that greatly assisted the research.
The paper author thanks Simula Research Laboratory for providing office space and ongoing technical support.
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Dronic, I. (2019). A Path to Artificial Intelligence. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_50
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DOI: https://doi.org/10.1007/978-3-030-01057-7_50
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