Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Why you should care: Ethical AI principles in a business setting: A study investigating the relevancy of the Ethical framework for AI in the context of the IT and telecom industry in Sweden
Jönköping University, Jönköping International Business School, JIBS, Business Administration.
Jönköping University, Jönköping International Business School, JIBS, Business Administration.
Jönköping University, Jönköping International Business School, JIBS, Business Administration.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Background: The development of artificial intelligence (AI) is ever increasing, especially in the telecom and IT industry due to its great potential competitive advantage. However, AI is implemented at a fast phase in society with insufficient consideration for the ethical implications. Luckily, different initiatives and organizations are now launching ethical principles to prevent possible negative effects stemming from AI usage. One example is the Ethical Framework for AI by Floridi et al., (2018) who established five ethical principles for sustainable AI with inspiration from bioethics. Moreover, Sweden as a country is taking AI ethics seriously since the government is on a mission to be the world leader in harnessing artificial intelligence.

Problem: The research in the field of ethical artificial intelligence is increasing but is still in its infancy where the majority of the academic articles are conceptual papers. Moreover, the few frameworks that exist for responsible AI are not always action-guiding and applicable to all AI applications and contexts.

Purpose: This study aims to contribute with empirical evidence within the topic of artificial intelligence ethics and investigate the relevancy of an existing framework, namely the Ethical Framework for AI by Floridi et al., (2018), in the IT and telecom industry in Sweden.

Method: A qualitative multiple-case study of ten semi-structured interviews with participants from the companies EVRY and Ericsson. The findings have later been connected to the literature within the field of artificial intelligence and ethics.

Results: The most reasonable interpretation from the findings and analysis is that some parts of the framework are relevant, while others are not. Specifically, the principles of autonomy and non- maleficence seem to be applicable, meanwhile justice and explicability appear to only be partially supported by the participants and beneficence is suggested to not be relevant due to several reasons.

Place, publisher, year, edition, pages
2019. , p. 64
Keywords [en]
Artificial Intelligence; ethical principles; AI ethics; ethical framework for AI
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-44236ISRN: JU-IHH-FÖA-1-20190838OAI: oai:DiVA.org:hj-44236DiVA, id: diva2:1321643
External cooperation
EVRY; Ericsson
Subject / course
JIBS, Business Administration
Supervisors
Examiners
Available from: 2019-06-25 Created: 2019-06-09 Last updated: 2019-06-25Bibliographically approved

Open Access in DiVA

fulltext(846 kB)31 downloads
File information
File name FULLTEXT01.pdfFile size 846 kBChecksum SHA-512
a3d1748d529b33c070131fcbe78e5e7cb88507a500b00887fa34d274f986739c7660cb10ad552c5af72cae4eaea6f81c1a1e17e74d105edc7a7371b51bb889d0
Type fulltextMimetype application/pdf

By organisation
JIBS, Business Administration
Business Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 31 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 114 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf