Falsi cation Machines Merits, deficits and solutions to commonly associated problems
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2021-07-01
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en
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Abstract
As arti cial intelligence (AI) is starting to be integrated in more and more technologies
applicable in a multitude of cases, the human-machine interaction gains in importance.
Decision support systems are used to facilitate humans by presenting them with candidate
hypotheses or decisions. This leads to problems such as responsibility gaps and
ensuring meaningful human control. Falsi cation machines (FM) serve the purpose of
increasing human control over decision-making, by assisting the increase of attention involved
in making human decisions. The function of FMs is to keep the decision-making
individual alert and engaged with the matter at hand. This project aims to improve our
understanding of the basic concepts and models involved in the construction and evaluation
of FMs. It does so by concisely describing FMs, their problems and the solutions
currently available. Identifying such problems, and indicating the kind of potential solutions
that are available or need to be investigated, is useful to AI, because it provides
incentives for future AI research.
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Faculteit der Sociale Wetenschappen