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Towards Ethical Data-Driven Software: Filling the Gaps in Ethics Research & Practice
26
Zitationen
2
Autoren
2021
Jahr
Abstract
More and more, data is being used to drive automated decision making through the integration of machine learning technologies into software. With these advances comes new potential for unexpected, undesirable, and possibly dangerous outcomes for end users. This has led to an increased focus on ethics in technology in both research and practice. Much of the work in ethical practices has been centered on ethics in machine learning and little has been validated for effectiveness in practice. In this paper, we outline the existing work in ethical computing with a focus on efforts that are relevant to data-driven software development. Based on existing work, we identify gaps in our understanding of ethical software development practices and suggestions for future work to help close these gaps.
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