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How individuals can shape AI through data - An AI literacy and morality perspective

Impact of data collection on ML models: Analyzing differences of biases between low- vs. high-skilled annotators

Reuse, Reduce, Support: Design Principles for Green Data Mining

Referenz

Schneider, J., Seidel, S., Basalla, M., & vom Brocke, J. (2023). Reuse, Reduce, Support: Design Principles for Green Data Mining. Business & Information Systems Engineering, 65.

Publication Type

Beitrag in wissenschaftlicher Fachzeitschrift

Staff Members

Prof. Dr. Jan vom Brocke Prof. Dr. Johannes Schneider

Participating Institutions

Liechtenstein Business School Information Systems & Business Process Management Artificial Intelligence und Data Science

DOI

https://dx.doi.org/10.1007/s12599-022-00780-w

Reflective-net: learning from explanations

Towards AI forensics: Did the artificial intelligence system do it?

Das Vorausvermächtnis und die Schenkung auf den Todesfall

The Beauty of Messiness: A Flexible Tool for Design Principle Projects

Value creation and value capture with digitalized experiential offerings

Practicing Effective Stakeholder Engagement for Impactful Research

Tokenisierung von Assets - das liechtensteinische Blockchain-Gesetz und die EU-MiCA-VO für Schweizer Dienstleister

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