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DIN SPEC 92001-3 Artificial Intelligence - Life Cycle Processes and Quality Requirements - Part 3: Explainability
- DIN SPEC 92001-3 Artificial Intelligence – Life Cycle Processes and Quality Requirements. Artificial Intelligence has become a game-changer, but its impact must be approached responsibly. This is the third document in a series, and it aims to ensure that AI systems are developed, deployed, and used efficiently, responsibly, and in a trustworthy way. It focuses on “Explainability” – the ability to understand how AI makes decisions. This DIN SPEC 92001-3 provides a domain-independent guide onDIN SPEC 92001-3 Artificial Intelligence – Life Cycle Processes and Quality Requirements. Artificial Intelligence has become a game-changer, but its impact must be approached responsibly. This is the third document in a series, and it aims to ensure that AI systems are developed, deployed, and used efficiently, responsibly, and in a trustworthy way. It focuses on “Explainability” – the ability to understand how AI makes decisions. This DIN SPEC 92001-3 provides a domain-independent guide on promoting explainability throughout the AI system’s life cycle. It tackles “opacity”, describing sources and effects of opacity in AI and how explanations can mitigate them. The goal is to foster a better understanding and effective use of Explainable AI across various applications, fostering principles of trust and transparency in AI-based systems. This DIN SPEC is the result of „Zertifizierung von Standard-KI-Anwendungen (Zertifizierte KI project)“ https://www.zertifizierte-ki.de/. The publication is available for free at Beuth Verlag GmbH www.beuth.de - plus the search for "DIN SPEC 92001-3"…
Author: | Detlef Olschewski, André Bluhm, Joerg Firnkorn, Adriano Lucieri, Sebastian Palacio, Yeji Streppel, Carlos Zednik, Rebekka Görge, Maximilian Poretschkin, Nikolas Becker, Thomas Zielke, Christian Kruschel, Matthias Neumann-Brosig, Stephen Bäuerle, Marton Eifert, Erik Martori López, Felix Assion, Annegrit Seyerlein-Klug, Ute Schmid, Stefan Haufe, Antoine Gautier, Lukas Bieringer, Tarek R. Besold, Armin B. Cremers |
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Publisher: | Beuth Verlag |
Document Type: | Report |
Language: | English |
Year of Publishing: | 2023 |
Date of Publication (online): | 2024/02/27 |
Publishing Institution: | Technische Hochschule Brandenburg |
Release Date: | 2024/04/23 |
Article Number: | DE30098842 |
Page Number: | 24 |
Institutes: | Fachbereich Wirtschaft |
University Bibliography: | Hochschulbibliografie |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 |