A Mulching Proposal
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Abstract (arXiv)
he 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.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Aug 2019.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 4; 2024: 2; 2025: 1; 2026: 2.
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- 2023Auditing large language models: a three-layered approachcited by 137
- 2023NLPositionality: Characterizing Design Biases of Datasets and Modelscited by 94
- 2021A Sociotechnical View of Algorithmic Fairnesscited by 24
- 2021Problematic Machine Behavior: A Systematic Literature Review of Algorithm Auditscited by 21
- 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systemscited by 12
- 2024Auditing of AI: Legal, Ethical and Technical Approachescited by 10
- 2024"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AIcited by 8
- 2023Responsible AI Research Needs Impact Statements Toocited by 7
- 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigorcited by 7
- 2021Axes for Sociotechnical Inquiry in AI Researchcited by 5
- 2022How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in Indiacited by 4
- 2023The Ethics of AI Value Chainscited by 3
- 2026Moral Attitudes of Sentient ASI towards Humanity and Implications for AGI Development16 Jul 2026
- 2026Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization2 Mar 2026
- 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor17 Jun 2025
- 2024"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI11 Oct 2024
- 2024Auditing of AI: Legal, Ethical and Technical Approaches7 Jul 2024
- 2023Responsible AI Research Needs Impact Statements Too20 Nov 2023
- 2023The Ethics of AI Value Chains31 Jul 2023
- 2023NLPositionality: Characterizing Design Biases of Datasets and Models2 Jun 2023
- 2023Auditing large language models: a three-layered approach16 Feb 2023
- 2022How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India11 May 2022
- 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systems9 May 2022
- 2021A Sociotechnical View of Algorithmic Fairness27 Sep 2021
2 more
- 2023Auditing large language models: a three-layered approachcited by 137
- 2023NLPositionality: Characterizing Design Biases of Datasets and Modelscited by 94
- 2021A Sociotechnical View of Algorithmic Fairnesscited by 24
- 2021Problematic Machine Behavior: A Systematic Literature Review of Algorithm Auditscited by 21
- 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systemscited by 12
- 2024Auditing of AI: Legal, Ethical and Technical Approachescited by 10
- 2024"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AIcited by 8
- 2023Responsible AI Research Needs Impact Statements Toocited by 7
- 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigorcited by 7
- 2021Axes for Sociotechnical Inquiry in AI Researchcited by 5
- 2022How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in Indiacited by 4
- 2023The Ethics of AI Value Chainscited by 3
12 most cited of 13 All 13 (JSON)
- 2026Moral Attitudes of Sentient ASI towards Humanity and Implications for AGI Development16 Jul 2026
- 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor17 Jun 2025
- 2024"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI11 Oct 2024
- 2024Auditing of AI: Legal, Ethical and Technical Approaches7 Jul 2024
- 2023Responsible AI Research Needs Impact Statements Too20 Nov 2023
- 2023The Ethics of AI Value Chains31 Jul 2023
- 2023NLPositionality: Characterizing Design Biases of Datasets and Models2 Jun 2023
- 2023Auditing large language models: a three-layered approach16 Feb 2023
- 2022How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India11 May 2022
- 2022Towards a multi-stakeholder value-based assessment framework for algorithmic systems9 May 2022
- 2021A Sociotechnical View of Algorithmic Fairness27 Sep 2021
- 2021Axes for Sociotechnical Inquiry in AI Research26 Apr 2021
12 newest of 13 All 13 (JSON)