Law Data Science and Ethics: the CRIKE Approach

In the era of big data, research activity on data science fo-cuses on large datasets to produce knowledge supporting decision-makingprocesses in different application domains and contexts. Data sciencepractices and outputs have a tremendous impact on a variety of fields byraising new ethical issues that become crucial. In this paper, we addressthe ethical issues related to the ethics of data, the ethics of algorithms,and the ethics of practices in the context of our data science approach forcase-law decisions (CLDs) processing called CRIKE (CRIme KnowledgeExtraction). In particular, we discuss the ethical issues that need to befaced when dealing with knowledge extracted from CLDs for descriptiveanalysis purposes and for predictive usage of data extracted from CLDs