AI for Fair Work From principles to practices

Callum Cant; Mark Graham; Funda Ustek Spilda; James Muldoon; Lola Brittain

AI for Fair Work From principles to practices

Callum Cant^*
, Mark Graham
, Funda Ustek Spilda
, James Muldoon
, Lola Brittain

^*Corresponding author for this work

Digital Humanities

Fairwork
University of Essex
University of Oxford

Research output: Book/Report › Report

59 Downloads (Pure)

Abstract

The GPAI Future of Work group has translated the OECD AI principles into concrete workplace standards to inform the practices of employers. This process of standard development initially began with a global stakeholder consultation, which generated a first version. Now, the research team have conducted two in-depth workplace studies to connect these standards to empirical data collected on the frontlines of AI system deployment. This process has allowed for a revision of the principles, conducted in association with research partner Fairwork. The new principles have a stronger focus on pay, conditions, contracts, management and representation, because these fundamental issues were consistently highlighted by research participants. A second report containing the results of the two case studies is to follow in early 2024.

Original language	English
Publisher	Global Partnership on AI
Commissioning body	Global Partnership on AI
Number of pages	13
Publication status	Published - Dec 2023

Publication series

Name	Future of Work

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

AI ethics
AI principles
Fair AI
AI policy

Access to Document

Fairwork GPAI report 2023Final published version, 321 KB

https://fair.work/wp-content/uploads/sites/17/2024/08/FoW2_AI-Fair-Work-.pdf

Cite this

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title = "AI for Fair Work From principles to practices",

abstract = "The GPAI Future of Work group has translated the OECD AI principles into concrete workplace standards to inform the practices of employers. This process of standard development initially began with a global stakeholder consultation, which generated a first version. Now, the research team have conducted two in-depth workplace studies to connect these standards to empirical data collected on the frontlines of AI system deployment. This process has allowed for a revision of the principles, conducted in association with research partner Fairwork. The new principles have a stronger focus on pay, conditions, contracts, management and representation, because these fundamental issues were consistently highlighted by research participants. A second report containing the results of the two case studies is to follow in early 2024. ",

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AU - Cant, Callum

AU - Graham, Mark

AU - Ustek Spilda, Funda

AU - Muldoon, James

AU - Brittain, Lola

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N2 - The GPAI Future of Work group has translated the OECD AI principles into concrete workplace standards to inform the practices of employers. This process of standard development initially began with a global stakeholder consultation, which generated a first version. Now, the research team have conducted two in-depth workplace studies to connect these standards to empirical data collected on the frontlines of AI system deployment. This process has allowed for a revision of the principles, conducted in association with research partner Fairwork. The new principles have a stronger focus on pay, conditions, contracts, management and representation, because these fundamental issues were consistently highlighted by research participants. A second report containing the results of the two case studies is to follow in early 2024.

AB - The GPAI Future of Work group has translated the OECD AI principles into concrete workplace standards to inform the practices of employers. This process of standard development initially began with a global stakeholder consultation, which generated a first version. Now, the research team have conducted two in-depth workplace studies to connect these standards to empirical data collected on the frontlines of AI system deployment. This process has allowed for a revision of the principles, conducted in association with research partner Fairwork. The new principles have a stronger focus on pay, conditions, contracts, management and representation, because these fundamental issues were consistently highlighted by research participants. A second report containing the results of the two case studies is to follow in early 2024.

KW - AI ethics

KW - AI principles

KW - Fair AI

KW - AI policy

M3 - Report

T3 - Future of Work

BT - AI for Fair Work From principles to practices

PB - Global Partnership on AI

ER -

AI for Fair Work From principles to practices

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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Cite this