Abstract
The life cycle of an AI system is a complex multi-stage undertaking that typically involves a range of human stakeholders (e.g., developers, managers, users) who can potentially be held accountable if harm is caused by the system. In this paper, we present the Accountability Fabric, a suite of semantic tools for managing the creation and audit of accountability knowledge graph
Original language | English |
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Article number | 336 |
Journal | CEUR Workshop Proceedings |
Volume | 2980 |
Publication status | Published - 14 Oct 2021 |
Event | 20th International Semantic Web Conference 2021 - Duration: 24 Oct 2021 → 28 Oct 2021 |
Keywords
- AI
- Accountability
- Provenance
ASJC Scopus subject areas
- General Computer Science