Super-forecasting the 'technological singularity' risks from artificial intelligence.

ABSTRACT: This article investigates cybersecurity (and risk) in the context of 'technological singularity' from artificial intelligence. The investigation constructs multiple risk forecasts that are synthesised in a new framework for counteracting risks from artificial intelligence (AI) itself. In other words, the research in this article is not just concerned with securing a system, but also analysing how the system responds when (internal and external) failure(s) and compromise(s) occur. This is an important methodological principle because not all systems can be secured, and totally securing a system is not feasible. Thus, we need to construct algorithms that will enable systems to continue operating even when parts of the system have been compromised. Furthermore, the article forecasts emerging

SUBMITTER: Radanliev P 

PROVIDER: S-EPMC9166151 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature