Datenanonymisierung Im Kontext Von Künstlicher Intelligenz Und Big Data: Grundlagen - Elementare Techniken - Anwendung
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Die fortschreitende Digitalisierung, die immer h�here Verf�gbarkeit des Internets in Echtzeit sowie die progressive Entwicklung der IT erm�glichen es Unternehmen und Organisationen, Daten in einem nie zuvor dagewesenen Umfang zu erzeugen und zu verarbeiten, wodurch sie einen enormen Stellen- und Marktwert erhalten haben. Zudem kann mithilfe der k�nstlichen Intelligenz (KI) das in den Daten enthaltene Wissen extrahiert werden. Oft handelt es sich dabei um gesammelte Daten von Personen, mit denen Vorhersagen �ber verschiedene Aspekte der Personen getroffen werden k�nnen.
Das Buch befasst sich mit der Anonymisierung im Kontext der KI und Big Data. Dazu werden die wesentlichen Grundlagen dargestellt sowie pseudonymisierte und anonymisierte Daten mit Personenbezug im Rahmen der Datenschutz-Grundverordnung (DSGVO) und des Bundesdatenschutzgesetzes (BDSG) beleuchtet. Es werden M�glichkeiten zur Pseudonymisierung, zu den jeweiligen Techniken und Verfahren der Anonymisierung sowieentsprechende Risikobetrachtungen behandelt. Abschlie end wird die Vorgehensweise der Anonymisierung aus rechtlicher und technischer Sicht unter Anwendung entsprechender Software behandelt.
Dr. Heinz-Adalbert Krebs ist geschäftsführender Gesellschafter der Green Excellence GmbH, welche Unternehmen der Energiewirtschaft bei Softwareimplementierungen, Geschäftsprozessoptimierungen, der Informationssicherheit und des Datenschutzes berät. Daneben lehrt er am Fachbereich Wirtschaftsinformatik der Universität Kassel die Einführung von ERP-Systemen (SAP) und ist zertifizierter Datenschutzbeauftragter sowie ISO 27001 Lead Auditor.
Dr. Patricia Hagenweiler ist langjährige Mitarbeiterin der Green Excellence GmbH und zertifizierte Datenschutzbeauftragte.
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