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Data quality requirements for inclusive, non-biased and trustworthy AI: Putting-Science-Into-Standards
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Data quality requirements for inclusive, non-biased and trustworthy AI: Putting-Science-Into-Standards (2022)Data quality requirements for inclusive, …Female perspectives on algorithmic bias: implications for AI researchers and practitioners (2025)Female perspectives on algori…Development and Evaluation of a Maturity Model for AI Deployment Capability of Manufacturing Companies (2024)Development and Evaluation of…“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making (2024)“The Human Must Remain the Ce…Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Design Science in Information Systems Research1 (2004)Developing Maturity Models for IT Management (2009)Three Approaches to Qualitative Content Analysis (2005)Fairness through awareness (2012)A Survey on Bias and Fairness in Machine Learning (2021)Measuring public opinion towards artificial intelligence: development and validation of a general AI attitude short scale (2025)Role congruity theory of prejudice toward female leaders. (2002)Users of the world, unite! The challenges and opportunities of Social Media (2009)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)
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  • 2024Development and Evaluation of a Maturity Model for AI Deployment Capability of Manufacturing Companies33 cited
  • 2024“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making15 cited
  • 2025Female perspectives on algorithmic bias: implications for AI researchers and practitioners14 cited

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