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

Milan Markovic; Iman Naja; Peter Edwards; Wei Pang

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 journal › Conference article › peer-review

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
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

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http://ceur-ws.org/Vol-2980/paper336.pdfLicence: CC BY

Cite this

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title = "The Accountability Fabric: A Suite of Semantic Tools For Managing AI System Accountability and Audit",

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",

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author = "Milan Markovic and Iman Naja and Peter Edwards and Wei Pang",

year = "2021",

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journal = "CEUR Workshop Proceedings",

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AU - Markovic, Milan

AU - Naja, Iman

AU - Edwards, Peter

AU - Pang, Wei

PY - 2021/10/14

Y1 - 2021/10/14

N2 - 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

AB - 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

KW - AI

KW - Accountability

KW - Provenance

UR - https://www.scopus.com/pages/publications/85117730338

M3 - Conference article

SN - 1613-0073

VL - 2980

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

M1 - 336

T2 - 20th International Semantic Web Conference 2021

Y2 - 24 October 2021 through 28 October 2021

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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