Paper Info
Title
Panel: Trustworthy Data Science.
Abstract
Much of the research that our community publishes is based on data. However, an open question remains: are the results of data science trustworthy, and how can we increase our trust in data science? Accomplishing this goal is difficult, as we must trust the inputs, systems, and results of data science. This panel will discuss the current state of trustworthy data science, and explore possible technical, legal, and cultural solutions that can increase our trust in the input, systems, and results of data science.
Year
DOI
Venue
2017
10.1145/3029806.3044199
CODASPY
Keywords
Field
DocType
Data Science, Panel, Trust
Data science,Internet privacy,Trustworthiness,Computer science
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Adam Doupé135733.14