āA Mulching Proposalā, 2019-08-10 ()ā :
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 frameworkāFairness, Accountability, and Transparencyāto a proposed algorithm that resolves various societal issues around food security and population ageing.
Using various standardized forms of algorithmic audit and evaluation, we drastically increase the algorithmās 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.
[Satirical criticism of āAI ethicsā paradigms which are focused on deontological & identity-political concerns rather than consequences, combining Soylent Green & āA Modest Proposalā.]
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