Work

Law Data Science and Ethics: the CRIKE Approach

Year: 2019
Type: book-chapter
Abstract: In the era of big data, research activity on data science focuses on large datasets to produce knowledge supporting decision-making processes in different application domains and contexts.Data science practices and outputs have a tremendous impact on a variety of fields by raising new ethical issues that become crucial.In this paper, we address the 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 for case-law decisions (CLDs) processing called CRIKE (CRIme Knowledge Extraction).In particular, we discuss the ethical issues that need to be faced when dealing with knowledge extracted from CLDs for descriptive analysis purposes and for predictive usage of data extracted from CLDs.
Language: English
Subfield: Law
Open Access status: green
OpenAlex ID: W2964810806
FWCI:
Cites: 19
Cited by:
Related to: 10