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Contributions to energy informatics, data protection, AI-driven cybersecurity, and explainable AI

Research output: Thesis › Doctoral thesis

Authors

  • Jana Gerlach

Research Organisations

Details

Original languageEnglish
QualificationDoctor rerum politicarum
Awarding Institution
Supervised by
Date of Award18 Jul 2024
Place of PublicationHannover
Publication statusPublished - 26 Jul 2024

Abstract

This cumulative dissertation includes eleven papers dealing with energy informatics, privacy, artificial intelligence-enabled cybersecurity, explainable artificial intelligence, ethical artificial intelligence, and decision support. In addressing real-world challenges, the dissertation provides practical guidance, reduces complexity, shows insights from empirical data, and supports decision-making. Interdisciplinary research methods include morphological analysis, taxonomies, decision trees, and literature reviews. From the resulting design artifacts, such as design principles, critical success factors, taxonomies, archetypes, and decision trees ¬ practitioners, including energy utilities, data-intensive artificial intelligence service providers, cybersecurity consultants, managers, policymakers, regulators, decision-makers, and end users can benefit. These resources enable them to make informed and efficient decisions.

Cite this

Contributions to energy informatics, data protection, AI-driven cybersecurity, and explainable AI. / Gerlach, Jana.
Hannover, 2024. 91 p.

Research output: Thesis › Doctoral thesis

Gerlach, J 2024, 'Contributions to energy informatics, data protection, AI-driven cybersecurity, and explainable AI', Doctor rerum politicarum, Leibniz University Hannover, Hannover. https://doi.org/10.15488/17813
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