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

Milan Markovic; Iman Naja; Pete Edwards; Wei Pang

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 journal › Conference article › peer-review

3 Citations (Scopus)

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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 language	English
Journal	CEUR Workshop Proceedings
Publication status	Accepted/In press - 28 Jul 2021
Event	The 20th International Semantic Web Conference - Virtual event Duration: 24 Oct 2021 → 28 Oct 2021 Conference number: 20th https://iswc2021.semanticweb.org/

Bibliographical note

Supported by the award made by the UKRI Digital Economy programme to the RAInS project (ref: EP/R033846/1).

Keywords

AI
Provenance
Accountability

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Markovic_etal_ISWC2021_the_accountability_fabric_AAM
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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 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/",

keywords = "AI, Provenance, Accountability",

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

note = "Supported by the award made by the UKRI Digital Economy programme to the RAInS project (ref: EP/R033846/1).; The 20th International Semantic Web Conference, ISWC 2021 ; Conference date: 24-10-2021 Through 28-10-2021",

year = "2021",

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T1 - The Accountability Fabric

T2 - The 20th International Semantic Web Conference

AU - Markovic, Milan

AU - Naja, Iman

AU - Edwards, Pete

AU - Pang, Wei

N1 - Conference code: 20th

PY - 2021/7/28

Y1 - 2021/7/28

N2 - 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/

AB - 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/

KW - AI

KW - Provenance

KW - Accountability

M3 - Conference article

SN - 1613-0073

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

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

Bibliographical note

Keywords

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