The Accountability Fabric: A Suite of Semantic Tools For Managing AI System Accountability and Audit

Milan Markovic, Iman Naja, Peter Edwards, Wei Pang

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

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 languageEnglish
Article number336
JournalCEUR Workshop Proceedings
Volume2980
Publication statusPublished - 14 Oct 2021
Event20th International Semantic Web Conference 2021 -
Duration: 24 Oct 202128 Oct 2021

Keywords

  • AI
  • Accountability
  • Provenance

ASJC Scopus subject areas

  • Computer Science(all)

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