Leveraging Knowledge Graphs for AI System Auditing and Transparency
Auditing complex Artificial Intelligence (AI) systems is gaining importance in light of new regulations and is particularly challenging in terms of system complexity, knowledge integration, and differing transparency needs. Current AI auditing tools however, lack semantic context, resulting in diffi...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Web Semantics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1570826824000350 |
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| _version_ | 1841545621277769728 |
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| author | Laura Waltersdorfer Marta Sabou |
| author_facet | Laura Waltersdorfer Marta Sabou |
| author_sort | Laura Waltersdorfer |
| collection | DOAJ |
| description | Auditing complex Artificial Intelligence (AI) systems is gaining importance in light of new regulations and is particularly challenging in terms of system complexity, knowledge integration, and differing transparency needs. Current AI auditing tools however, lack semantic context, resulting in difficulties for auditors in effectively collecting and integrating, but also for analysing and querying audit data. In this position paper, we explore how Knowledge Graphs (KGs) can address these challenges by offering a structured and integrative approach to collecting and transforming audit traces. This work discusses the current limitations in both AI auditing processes and tools. Furthermore, we examine how KGs can play a transformative role in overcoming these obstacles to achieve improved auditability and transparency of AI systems. |
| format | Article |
| id | doaj-art-ede1d1f3f0e148c1bf7e73516a2c8020 |
| institution | Kabale University |
| issn | 1570-8268 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Web Semantics |
| spelling | doaj-art-ede1d1f3f0e148c1bf7e73516a2c80202025-01-12T05:24:30ZengElsevierWeb Semantics1570-82682025-01-0184100849Leveraging Knowledge Graphs for AI System Auditing and TransparencyLaura Waltersdorfer0Marta Sabou1Vienna University of Economics and Business (WU), Welthandelsplatz 1, Vienna, 1020, Austria; Technische Universität Wien (TU), Favoritenstraße 9-11, Vienna, 1040, Austria; Corresponding author.Vienna University of Economics and Business (WU), Welthandelsplatz 1, Vienna, 1020, AustriaAuditing complex Artificial Intelligence (AI) systems is gaining importance in light of new regulations and is particularly challenging in terms of system complexity, knowledge integration, and differing transparency needs. Current AI auditing tools however, lack semantic context, resulting in difficulties for auditors in effectively collecting and integrating, but also for analysing and querying audit data. In this position paper, we explore how Knowledge Graphs (KGs) can address these challenges by offering a structured and integrative approach to collecting and transforming audit traces. This work discusses the current limitations in both AI auditing processes and tools. Furthermore, we examine how KGs can play a transformative role in overcoming these obstacles to achieve improved auditability and transparency of AI systems.http://www.sciencedirect.com/science/article/pii/S1570826824000350AI auditingKnowledge GraphsAI transparency |
| spellingShingle | Laura Waltersdorfer Marta Sabou Leveraging Knowledge Graphs for AI System Auditing and Transparency Web Semantics AI auditing Knowledge Graphs AI transparency |
| title | Leveraging Knowledge Graphs for AI System Auditing and Transparency |
| title_full | Leveraging Knowledge Graphs for AI System Auditing and Transparency |
| title_fullStr | Leveraging Knowledge Graphs for AI System Auditing and Transparency |
| title_full_unstemmed | Leveraging Knowledge Graphs for AI System Auditing and Transparency |
| title_short | Leveraging Knowledge Graphs for AI System Auditing and Transparency |
| title_sort | leveraging knowledge graphs for ai system auditing and transparency |
| topic | AI auditing Knowledge Graphs AI transparency |
| url | http://www.sciencedirect.com/science/article/pii/S1570826824000350 |
| work_keys_str_mv | AT laurawaltersdorfer leveragingknowledgegraphsforaisystemauditingandtransparency AT martasabou leveragingknowledgegraphsforaisystemauditingandtransparency |