Abstract
Since 2014, several artificial intelligence systems have been officially appointed to management positions in international companies. Thus, it can be said that a paradigm shift in management decision-making is currently taking place: from a situation where artificial intelligence simply serves as a tool to support directors or board committees, we are moving to a situation where artificial intelligence controls the decision-making process. One of the key questions now is whether it is worthwhile to deal with law as a computation at all. High-quality computational law is the most important condition for the successful development of modern human civilization. The need to create algorithmic legislation for technical systems has already been considered by famous mathematicians, in particular, Gottfried Leibniz and Pierre Laplace. Despite the fact that the great thinkers of the past were able to foresee the basic principles that could form the basis for constructing reasoning by technical systems, at that time they did not have the necessary technical and social tools. The article proposes a methodology for creating a reference book (dictionary) for formulating algorithmic foundations of management decisions. The considered reference (dictionary) model is aimed at offering a reference base for the formation of policies of autonomous AI systems, which will allow all interested users to express informed consent or disagreement with the decisions made by AI systems. To the best of the author's knowledge, this is the first reference (dictionary) model for modeling algorithmic decisions of autonomous AI systems for corporate governance purposes.
Published Version
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