Search Results for: liability for damages

Hindsight bias and liability for damages

Dr Radosław Zyzik

Jesuit University Ignatianum in Cracow

English abstract: Hindsight bias is one of the cognitive biases, which are biases that people make systematically and predictably. The essence of this bias is inability to correctly evaluate the probability of past events. Our tendency to overestimate it can lead to disturbing consequences in legal proceedings where such activities are on the agenda. In our analysis we will focus on assessing how the hindsight bias affects the way in which judges determine guilt in civil proceedings. Moreover, we will try to identify the consequences of moral, economic and legal aspects of theoretical analyzed cognitive error.

Keywords: hindsight bias, cognitive bias, liability for damages, cognitive psychology, civil law, legal philosophy

Language: Polish

Published: Number 2(11)/2015, p. 131-141.

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Number of downloads: 567

Application of artificial neural networks for modeling legal reasoning. On legal reasoning specific problems

Mgr Rafał Michalczak

Jagiellonian University

English abstract: The purpose of this paper is to describe the application of artificial neural networks in modeling legal reasoning. In particular, the paper will be focused on specific problems which may occur only on the ground of legal reasoning and are difficult from the artificial intelligence perspective. The focal point of the paper is not to provide technical details of analyzed systems but to point out parts of legal conceptual framework which are inconsistent with classical techniques of designing of expert system. Paper consists description of a few legal expert systems based on artificial neural networks. Each of them is the basis for presentation of particular feature of legal reasoning which are considered difficult from the AI point of view e.g. vague concepts, open-texture, analogy.

Keywords: artificial neural networks, SplitUp programme, liability for damages, legal reasoning

Language:Polish

Published: Number 2(7)/2013, pp. 52-62

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Number of downloads: 342