Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems
- Several governmental organizations all over the world aim for algorithmic accountability of artificial intelligence systems. However, there are few specific proposals on how exactly to achieve it. This article provides an extensive overview of possible transparency and inspectability mechanisms that contribute to accountability for the technical components of an algorithmic decision-making system. Following the different phases of a generic software development process, we identify and discuss several such mechanisms. For each of them, we give an estimate of the cost with respect to time and money that might be associated with that measure.
Author: | Marc HauerORCiD |
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URN: | urn:nbn:de:hbz:386-kluedo-79238 |
DOI: | https://doi.org/10.1017/dap.2023.30 |
ISSN: | 2632-3249 |
Parent Title (English): | Data and Policy |
Publisher: | Cambridge University Press |
Place of publication: | Cambridge, University Printing House Shaftesbury Road, United Kingdom |
Contributor(s): | Marc HauerORCiD, Tobias KrafftORCiD, Katharina ZweigORCiD |
Document Type: | Article |
Language of publication: | English |
Date of Publication (online): | 2024/03/29 |
Year of first Publication: | 2023 |
Publishing Institution: | Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |
Date of the Publication (Server): | 2024/04/03 |
Issue: | 5 |
Page Number: | 23 |
Source: | 10.1017/dap.2023.30 |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Informatik |
DDC-Cassification: | 0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Collections: | Open-Access-Publikationsfonds |
Licence (German): | Zweitveröffentlichung |