Johanna Johansen

ORCID: 0000-0003-4908-9045
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About
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Research Areas
  • Privacy, Security, and Data Protection
  • Ethics and Social Impacts of AI
  • Privacy-Preserving Technologies in Data
  • Software Engineering Research
  • Explainable Artificial Intelligence (XAI)
  • User Authentication and Security Systems
  • ICT in Developing Communities
  • Mobile Learning in Education
  • Ethics in Clinical Research
  • Big Data and Business Intelligence
  • Technology, Environment, Urban Planning
  • Financial Reporting and Valuation Research
  • Innovative Human-Technology Interaction
  • ICT Impact and Policies
  • Sexuality, Behavior, and Technology
  • Scientific Computing and Data Management
  • Customer Service Quality and Loyalty
  • Accounting Theory and Financial Reporting
  • Intellectual Capital and Performance Analysis

Norwegian University of Science and Technology
2023

University of Oslo
2020-2022

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

10.1007/s00146-021-01328-4 article EN cc-by AI & Society 2021-12-27

Privacy is currently in distress and need of rescue, much like princesses the all-familiar fairytales. We employ storytelling metaphors from fairytales to make reader-friendly streamline our arguments about how a complex concept Labeling (the 'knight shining armor') can be solution current state 'princess distress'). give precise definition (PL), painting panoptic portrait seven different perspectives 'seven helpers'): Business, Legal, Regulatory, Usability Human Factors, Educative,...

10.1108/ics-06-2021-0080 article EN Information and Computer Security 2022-04-18

This paper summarises our work on studying educational applications enabled by the introduction of a new information layer called InfoInternet. is an initiative to facilitate affordable access internet based in communities with network scarcity or economic problems from Global South. InfoInternet develops both networking solutions as well business and social models, together actors like mobile operators government organisations. In this we identify describe characteristics applications,...

10.1080/20421338.2021.1884326 article EN cc-by African Journal of Science Technology Innovation and Development 2021-07-09

We present the results of a study done in order to validate concepts and methods that have been introduced (Johansen Fischer-Hubner, 2020. "Making GDPR Usable: A Model Support Usability Evaluations Privacy." IFIP AICT 576, 275-291). use as respondents our interviews experts working across fields relevance these concepts, including law data protection/privacy, certifications standardization, usability (as studied field Human-Computer Interaction). experts' opinions about four new namely: (i)...

10.48550/arxiv.2308.08287 preprint EN cc-by-nc-sa arXiv (Cornell University) 2023-01-01

DevSecOps, as the extension of DevOps with security training and tools, has become a popular way developing modern software, especially in Internet Things arena, due to its focus on rapid development, short release cycles, involving user/client very closely. Security classification methods, other hand, are heavy slow processes that require high expertise security, same similar areas such risk analysis or certification. As such, methods hardly compatible DevSecOps culture, which contrary,...

10.48550/arxiv.2410.01762 preprint EN arXiv (Cornell University) 2024-10-02
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