@inproceedings{70654544361d443090fa15303dfcd5bc,
title = "The ethics of data-driven personas",
abstract = "Quantitative methods are becoming more common for persona creation, but it is not clear to which extent online data and opaque machine learning algorithms introduce bias at various steps of data-driven persona creation (DDPC) and if these methods violate user rights. In this conceptual analysis, we use Gillespie's framework of algorithmic ethics to analyze DDPC for ethical considerations. We propose five design questions for evaluating the ethics of DDPC. DDPC should demonstrate the diversity of the user base but represent the actual data, be accompanied by explanations of their creation, and mitigate the possibility of unfair decisions.",
keywords = "Data-driven personas, Ethics, Fairness, Personas",
author = "Joni Salminen and Willemien Froneman and Jung, {Soon Gyo} and Shammur Chowdhury and Jansen, {Bernard J.}",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 ; Conference date: 25-04-2020 Through 30-04-2020",
year = "2020",
month = apr,
day = "25",
doi = "10.1145/3334480.3382790",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",
address = "United States",
}