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Christian Johansen

Biographic Data

ID6588270
NAMEChristian Johansen
GIVEN NAMESChristian
FAMILY NAMEJohansen
SIGNATUREJOHANSEN C
AFFILIATIONSUniversity of Oslo
ORCID0000-0002-1525-0307
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Studying human-to-computer bias transference

    Open Access•Johanna Johansen, Tore Pedersen et al.•ARTICLE•AI & Society•2023

    It is generally agreed that one origin of machine bias is resulting from characteristics within the dataset on which the algorithms are trained, i.e., the data does not warrant a generalized inference. We, however, hypothesize that a different ‘mechanism’ may also be responsible for machine bias, namely that biases may originate from (i) the programmers’ cultural background, including education or line of work, or (ii) the contextual programming …

  • Defining and measuring the effects of digital technologies on social sustainability

    Open Access•Gabriel Andy Szalkowski, Christian Johansen•ARTICLE•Sustainable Development•2023•Cited by: 2•References: 15

    The impact of digital technologies on the environmental and economic sides of sustainability has received considerable attention. In contrast, the societal implications are quite under‐researched. Through a systematic literature review, we describe the current status of the research on the impacts that digital technologies have on social sustainability. We pay particular attention to methods used for assessing and measuring these impacts. One pos…

  • Behavioural artificial intelligence

    Open Access•Tore Pedersen, Christian Johansen•ARTICLE•AI & Society•2020

  • Defining and measuring the effects of digital technologies on social sustainability

    Open Access•Gabriel Andy Szalkowski, Christian Johansen•ARTICLE•Sustainable Development•2023•Cited by: 2•References: 15

    The impact of digital technologies on the environmental and economic sides of sustainability has received considerable attention. In contrast, the societal implications are quite under‐researched. Through a systematic literature review, we describe the current status of the research on the impacts that digital technologies have on social sustainability. We pay particular attention to methods used for assessing and measuring these impacts. One pos…

  • Behavioural artificial intelligence

    Open Access•Tore Pedersen, Christian Johansen•ARTICLE•AI & Society•2020

  • Studying human-to-computer bias transference

    Open Access•Johanna Johansen, Tore Pedersen et al.•ARTICLE•AI & Society•2023

    It is generally agreed that one origin of machine bias is resulting from characteristics within the dataset on which the algorithms are trained, i.e., the data does not warrant a generalized inference. We, however, hypothesize that a different ‘mechanism’ may also be responsible for machine bias, namely that biases may originate from (i) the programmers’ cultural background, including education or line of work, or (ii) the contextual programming …

  • Defining and measuring the effects of digital technologies on social sustainability

    Open Access•Gabriel Andy Szalkowski, Christian Johansen•ARTICLE•Sustainable Development•2023•Cited by: 2•References: 15

    The impact of digital technologies on the environmental and economic sides of sustainability has received considerable attention. In contrast, the societal implications are quite under‐researched. Through a systematic literature review, we describe the current status of the research on the impacts that digital technologies have on social sustainability. We pay particular attention to methods used for assessing and measuring these impacts. One pos…

Computer Science (3 works) · Artificial Intelligence (2 works) · Data science (2 works) · Ethics and Social Impacts of AI (2 works) · Explainable Artificial Intelligence (XAI (2 works) · Inference (2 works) · Psychology (2 works) · Art (1 work) · Business (1 work) · Cognitive psychology (1 work)

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