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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-01-01
|
| Series: | Data & Policy |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2632324923000305/type/journal_article |
| _version_ | 1797404890483392512 |
|---|---|
| author | Marc P. Hauer Tobias D. Krafft Katharina Zweig |
| author_facet | Marc P. Hauer Tobias D. Krafft Katharina Zweig |
| author_sort | Marc P. Hauer |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T03:01:37Z |
| format | Article |
| id | doaj.art-15e497909da24ca8b224665e05a824ea |
| institution | Directory Open Access Journal |
| issn | 2632-3249 |
| language | English |
| last_indexed | 2024-03-09T03:01:37Z |
| publishDate | 2023-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data & Policy |
| spelling | doaj.art-15e497909da24ca8b224665e05a824ea2023-12-04T13:13:10ZengCambridge University PressData & Policy2632-32492023-01-01510.1017/dap.2023.30Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systemsMarc P. Hauer0https://orcid.org/0000-0002-1598-1812Tobias D. Krafft1https://orcid.org/0000-0002-3527-1092Katharina Zweig2https://orcid.org/0000-0002-4294-9017Algorithm Accountability Lab, RPTU Kaiserslautern Landau, Kaiserslautern, GermanyAlgorithm Accountability Lab, RPTU Kaiserslautern Landau, Kaiserslautern, GermanyAlgorithm Accountability Lab, RPTU Kaiserslautern Landau, Kaiserslautern, GermanySeveral 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.https://www.cambridge.org/core/product/identifier/S2632324923000305/type/journal_articleAI policyalgorithmic accountabilityinspectabilitytransparencyoverview |
| spellingShingle | Marc P. Hauer Tobias D. Krafft Katharina Zweig Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems Data & Policy AI policy algorithmic accountability inspectability transparency overview |
| title | Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems |
| title_full | Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems |
| title_fullStr | Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems |
| title_full_unstemmed | Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems |
| title_short | Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems |
| title_sort | overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems |
| topic | AI policy algorithmic accountability inspectability transparency overview |
| url | https://www.cambridge.org/core/product/identifier/S2632324923000305/type/journal_article |
| work_keys_str_mv | AT marcphauer overviewoftransparencyandinspectabilitymechanismstoachieveaccountabilityofartificialintelligencesystems AT tobiasdkrafft overviewoftransparencyandinspectabilitymechanismstoachieveaccountabilityofartificialintelligencesystems AT katharinazweig overviewoftransparencyandinspectabilitymechanismstoachieveaccountabilityofartificialintelligencesystems |