UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Understanding accountability in algorithmic supply chains

Cobbe, Jennifer; Veale, Michael; Singh, Jatinder; (2023) Understanding accountability in algorithmic supply chains. In: Proceedings of FAccT '23: ACM Conference on Fairness, Accountability, and Transparency. (pp. pp. 1186-1197). ACM (Association for Computing Machinery): Chicago, IL, USA. Green open access

[thumbnail of Veale_Understanding accountability in algorithmic supply chains_VoR.pdf]
Preview
Text
Veale_Understanding accountability in algorithmic supply chains_VoR.pdf

Download (671kB) | Preview

Abstract

Academic and policy proposals on algorithmic accountability often seek to understand algorithmic systems in their socio-technical context, recognising that they are produced by ‘many hands’. Increasingly, however, algorithmic systems are also produced, deployed, and used within a supply chain comprising multiple actors tied together by flows of data between them. In such cases, it is the working together of an algorithmic supply chain of different actors who contribute to the production, deployment, use, and functionality that drives systems and produces particular outcomes. We argue that algorithmic accountability discussions must consider supply chains and the difficult implications they raise for the governance and accountability of algorithmic systems. In doing so, we explore algorithmic supply chains, locating them in their broader technical and political economic context and identifying some key features that should be understood in future work on algorithmic governance and accountability (particularly regarding general purpose AI services). To highlight ways forward and areas warranting attention, we further discuss some implications raised by supply chains: challenges for allocating accountability stemming from distributed responsibility for systems between actors, limited visibility due to the accountability horizon, service models of use and liability, and cross-border supply chains and regulatory arbitrage.

Type: Proceedings paper
Title: Understanding accountability in algorithmic supply chains
Event: FAccT '23: 2023 ACM Conference on Fairness, Accountability, and Transparency
Location: Chicago, IL, USA
Dates: 12th-15th June 2023
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3593013.3594073
Publisher version: https://doi.org/10.1145/3593013.3594073
Language: English
Additional information: © The Authors 2023. This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License (https://creativecommons.org/licenses/by/4.0/).
Keywords: Algorithmic accountability, supply chains, AI as a Service, general purpose AI, political economy, accountability horizon
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Laws
URI: https://discovery.ucl.ac.uk/id/eprint/10169099
Downloads since deposit
40Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item