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Introducing RISK

2022-07-17 09:51:10
Christopher D. Wallbridge, Qiyuan Zhang
arXiv_RO
       
Abstract

This extended abstract introduces the initial steps taken to develop a system for Rapid Internal Simulation of Knowledge (RISK). RISK aims to enable more transparency in artificial intelligence systems, especially those created by deep learning networks by allowing real-time simulation of what the system knows. By looking at hypothetical situations based on these simulations a system may make more informed decisions, and produce them for non-expert observers to understand the reasoning behind a given action.

Abstract (translated)

URL

https://arxiv.org/abs/2208.07306

PDF

https://arxiv.org/pdf/2208.07306.pdf

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