mdh.sePublications
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
Mapping Artificial Intelligence (AI) Capabilities around Human Competences: An explorative study
Mälardalen University, School of Innovation, Design and Engineering.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Technology in the workplace has helped increase the rate of production and speed at which business occur. As these technologies advance, humans are becoming more efficient and more productive than ever before. The impact of technology on work, has consistently changed the way human across every industry do their jobs. In fact, the latest advancements in artificial intelligence (AI) has the potential to further influence a greater shift in the way human accomplish job tasks. Because artificial intelligence is a technology based on augmenting human, we can use this advantage to further complement human intelligence. Making human more creative and smarter than they have ever been. To achieve this, we need to understand how AI’s capabilities can complement human’s competences. In a workplace context, we need to understand how AI can facilitate the support of different type of tasks. Hence, the purpose of this explorative study is to understand AI’s influence on people’s skills and on workflows. This is done by mapping AI capabilities around human competences to help individuals up- skill and to support organizations in planning effective workflows enabled by AI to achieve better performance. The insights for this qualitative study is gathered by developing an AI use- case with industrial partners, while carefully observing the influence AI poses on human skills and organization processes.

Beyond the traditional technology optimizations that earlier helped human with speed and accuracy, the findings from this thesis show that AI could empower human through skills such as creativity, problem solving, and analysis. As a consequence, such advancement impacts the demand of human competences needed to thrive in AI enabled workplaces. The long-term impact of adapting AI to support in workplace tasks, shows a trend in moving toward more intellectually demanding tasks. While workflows will need to facilitate collaboration between cross-disciplinary teams and support high involvement.

Place, publisher, year, edition, pages
2019. , p. 82
Keywords [en]
Artificial Intelligence Capabilities, Human Competences, Productivity, Future Workplace
National Category
Social Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-44748OAI: oai:DiVA.org:mdh-44748DiVA, id: diva2:1333412
External cooperation
Volvo Construction Equipment; Futurice
Subject / course
Innovation & design
Supervisors
Examiners
Available from: 2019-07-02 Created: 2019-07-01 Last updated: 2019-07-02Bibliographically approved

Open Access in DiVA

fulltext(2804 kB)71 downloads
File information
File name FULLTEXT01.pdfFile size 2804 kBChecksum SHA-512
28a8d769302450c762b761e696a660c278a0698158f2f244a106ecaad0a8a5e388ed4c8c04fd42022bd34024f4a639aec1fb5ea0d8a2f8eb053929a1e4ffb781
Type fulltextMimetype application/pdf

By organisation
School of Innovation, Design and Engineering
Social SciencesEngineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 71 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: 160 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