Responsible Data Science
Business & Information Systems Engineering(2017)
摘要
Technologists have a responsibility to develop Data Science and AI methods that satisfy fairness, accountability, transparency, and ethical requirements. This statement has repeatedly been made in recent years and in many quarters, including major newspapers and magazines. The technical community has responded with work in this direction. However, almost all of this work has been directed towards the decision-making algorithm that performs a task such as scoring or classification. This presentation examines the Data Science pipeline, and points out the importance of addressing responsibility in all stages of this pipeline, and not just the decision-making stage. The presentation then outlines some recent research results that have been obtained in that regard.
更多查看译文
关键词
data science, fairness, accountability, and transparency
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络