Details
Originalsprache | Englisch |
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Qualifikation | Doctor rerum politicarum |
Gradverleihende Hochschule | |
Betreut von |
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Datum der Verleihung des Grades | 18 Juli 2024 |
Erscheinungsort | Hannover |
Publikationsstatus | Veröffentlicht - 26 Juli 2024 |
Abstract
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Hannover, 2024. 91 S.
Publikation: Qualifikations-/Studienabschlussarbeit › Dissertation
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TY - BOOK
T1 - Contributions to energy informatics, data protection, AI-driven cybersecurity, and explainable AI
AU - Gerlach, Jana
PY - 2024/7/26
Y1 - 2024/7/26
N2 - 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.
AB - 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.
U2 - 10.15488/17813
DO - 10.15488/17813
M3 - Doctoral thesis
CY - Hannover
ER -