As algorithms increasingly automate decision-making processes, filter information flows, and mediate our social interactions, ethical concerns immediately follow. Questions of fairness, accountability, and transparency permeate the growing set of concerns around the social and ethical implications of algorithms. As a growing community of scholars grapples with the ethics of algorithms, how can their findings be applied by technologists engaged in machine learning and the cutting edge of AI development in order to minimize unintended bias and the risk of harm? Put simply, how can businesses apply algorithmic ethics?
The 2021 Marquette Ethics of Big Data Symposium brings together some of the leading voices on applied algorithmic ethics to discuss the latest efforts to engage with these difficult challenges.
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