Vem bryr sig om etisk data?: En explorativ metodstudie om hur företag kan reflektera kring omsorg i syfte att fatta etiska beslut om data
2022 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student thesisAlternative title
Who cares about ethical data? : An exploratory method study on how companies can reflect on care in order to make ethical decisions about data (English)
Abstract [en]
When the data protection regulation was introduced in 2018, the aim was to create uniformprotection for privacy in personal data. Despite this, there is still a lack of trust among manyusers about how companies actually process their personal data. This highlights the need fornew methods and tools that can support companies to handle personal data in an ethical andresponsible manner. Based on a theoretical and relational framework for ethics of care, thisstudy developed a set of questions to emphasize ethical reflection in the development ofdata-driven services. Through a design exploratory perspective, the set of questions weredeveloped during iterations, and through two workshops as research methods. The workshopsessions were conducted with researchers from Sweden's research institute as well asrepresentatives from two pseudonymous companies that collaborate in collecting citizens'location data. The result showed that the question package fulfilled different functions ofpromoting care, and thus ethical reflection around the handling of personal data. Theparticipants were aware of the ethical challenges that exist when collecting users' locationdata, based on users' needs. The participants had the ability to illuminate these challengesthemselves, but did not know how to respond to the challenges in practice.
Place, publisher, year, edition, pages
2022. , p. 46
Keywords [en]
Care, ethics, tools, responsibility, decision making, critical reflection, discussion, GDPR, data, personal data, location data, workshop
Keywords [sv]
Omsorg, etik, verktyg, ansvar, beslutsfattande, kritisk reflektion, diskussion, GDPR, data, persondata, platsdata, workshop
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:sh:diva-50937OAI: oai:DiVA.org:sh-50937DiVA, id: diva2:1734654
Subject / course
Media Technology
Supervisors
Examiners
2023-02-082023-02-062023-02-09Bibliographically approved