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

Milan Markovic* (Corresponding Author), Iman Naja, Pete Edwards, Wei Pang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The life cycle of an AI system is a complex multi-stage un- dertaking 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 Account- ability Fabric, a suite of semantic tools for managing the creation and audit of accountability knowledge graphs. Demo Link: https://rains-uoa.github.io/ISWC_2021_Demo/
Original languageEnglish
JournalCEUR Workshop Proceedings
Publication statusAccepted/In press - 28 Jul 2021
EventThe 20th International Semantic Web Conference - Virtual event
Duration: 24 Oct 202128 Oct 2021
Conference number: 20th
https://iswc2021.semanticweb.org/

Keywords

  • AI
  • Provenance
  • Accountability

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