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Publication type: Conference paper
Type of review: Peer review (publication)
Title: Towards an ethical code for data-based business
Authors : Loi, Michele
Heitz, Christoph
Ferrario, Andrea
Schmid, Anita
Christen, Markus
et. al : No
DOI : 10.1109/SDS.2019.00-15
Proceedings: 2019 6th Swiss Conference on Data Science (SDS)
Conference details: 6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019
Issue Date: 2019
Publisher / Ed. Institution : IEEE
ISBN: 978-1-7281-3105-4
Language : English
Subjects : Digital ethics; Data science
Subject (DDC) : 005: Computer programming, programs and data
170: Ethics
Abstract: In this paper, we outline the structure and content of a code of ethics for companies engaged in data-based business, i.e. companies whose value propositions strongly depends on using data. The code provides an ethical reference for all people in the organization who are responsible for activities around data. It is primarily targeting private industry, but public organizations and administrations may also use it. A joint industry-academic initiative, involving specialists for ethics as well as for all relevant data-related issues, developed this code.
Fulltext version : Accepted version
License (according to publishing contract) : Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in Collections:Publikationen School of Engineering

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