%0 Generic %1 keyes2019mulching %A Keyes, Os %A Hutson, Jevan %A Durbin, Meredith %D 2019 %K machinelearn %T A Mulching Proposal %U http://arxiv.org/abs/1908.06166 %X 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.

@misc{keyes2019mulching, abstract = {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.}, added-at = {2020-08-08T15:09:45.000+0200}, author = {Keyes, Os and Hutson, Jevan and Durbin, Meredith}, biburl = {https://www.bibsonomy.org/bibtex/2e3391a30a2221e887f0cecbf4c62b82f/cmcneile}, description = {A Mulching Proposal}, interhash = {740c739920d772522178f59c69c940cf}, intrahash = {e3391a30a2221e887f0cecbf4c62b82f}, keywords = {machinelearn}, note = {cite arxiv:1908.06166}, timestamp = {2020-08-08T15:09:45.000+0200}, title = {A Mulching Proposal}, url = {http://arxiv.org/abs/1908.06166}, year = 2019 }