A Mulching Proposal

Os Keyes · Jevan Alexander Hutson · Meredith Durbin

72 citations0/0 files storedCHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)

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Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)Artificial Intelligence in Law

Abstract

The ethical implications of algorithmic systems have been much discussed in both HCI and the broader community of those interested in technology design, development and policy. In this paper, we explore the application of one prominent ethical framework-Fairness, Accountability, and Transparency-to a proposed algorithm that resolves various societal issues around food security and population ageing. Using various standardised forms of algorithmic audit and evaluation, we drastically increase the algorithm's adherence to the FAT framework, resulting in a more ethical and beneficent system. We discuss how this might serve as a guide to other researchers or practitioners looking to ensure better ethical outcomes from algorithmic systems in their line of work.

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References

2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification 2018Algorithms of Oppression 2016Accountability in algorithmic decision making 2020Algorithmic Fairness: Choices, Assumptions, and Definitions 2019Actionable Auditing 2018The Misgendering Machines 2020Algorithms of Oppression 2018The Measure and Mismeasure of Fairness

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2022Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes 2021Ethics-based auditing of automated decision-making systems: intervention points and policy implications 2020Algorithmic bias and the Value Sensitive Design approach 2023Insolvent 2022How Platform-User Power Relations Shape Algorithmic Accountability 2021Certification systems for machine learning: Lessons from sustainability 2022

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