Logo des Repositoriums
 

Designing an ethical technology project with the help of Data Feminism

Kurzanzeige
dc.contributor.authorGleißner, Lea-Kathrin
dc.contributor.authorBui, Magdalena
dc.contributor.authorKühn, Fey
dc.contributor.authorNenninger, Amelie
dc.contributor.editorGesellschaft für Informatik
dc.date.accessioned2021-12-15T10:17:09Z
dc.date.available2021-12-15T10:17:09Z
dc.date.issued2021
dc.description.abstractAlgorithms and new technologies help people in several life situations, but society pays a high price for their advantages. Several scandals occurred recently, showing that algorithms are neither neutral nor fair – quite the contrary: They discriminate people as humans do. One approach to create less biased data science projects is the “Data Feminism” method, presented by Catherine D’Ignazio and Lauren F. Klein in their book of the same title. This paper evaluates how feasible the method can be implemented in student projects based on the experiences four Leipzig students made by trying to implement the method into their project ‘Questioning Street Names Leipzig’. The paper focusses on three main concepts: subjective viewpoints and context, crediting all forms of labour, and building and linking communities through public tagging events, thus opening the academic question for some citizen science help. The project utilizes open data and open data sources such as Wikidata and OpenStreetMap. The authors of “Data Feminism” want to encourage students, as well as academic professionals, to think about their bias in their data and to use the data feminism approach to reduce the impact of them and create more ethical computer science projects.en
dc.identifier.isbn978-3-88579-751-7
dc.identifier.pissn1614-3213
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37775
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofSKILL 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Seminars, Volume S-17
dc.subjectdata feminism
dc.subjectCitizen Science
dc.subjectOpenStreetMap
dc.subjectWikidata
dc.subjectopen data
dc.subjectreport of experiences
dc.titleDesigning an ethical technology project with the help of Data Feminismen
gi.citation.endPage171
gi.citation.startPage159
gi.conference.date28. September und 01. Oktober 2021
gi.conference.locationBerlin
gi.conference.sessiontitleSKILL 2021

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
A5-1.pdf
Größe:
317.58 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

S17 - SKILL 2021 - Studierendenkonferenz Informatik