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Introducing RISK

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.

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Related contextRelated contextRelated contextCo-authorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalWIntroducing RISKpreprint / 2022AChristopher D. WallbridgeResearcherAQiyuan ZhangResearcherTArtificial Intelligence22915 worksTRobotics7585 worksTHuman-Computer Interaction3971 works
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Introducing RISK

preprint / 2022

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