Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning

Minds and Machines 31 (4):563-593 (2021)
  Copy   BIBTEX


Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and psychological backgrounds of individuals correlate in practice with different modes of human–computer-interaction, the paper describes from an ethical perspective how varying qualities of behavioral data that individuals leave behind while using digital technologies have socially relevant ramification for the development of machine learning applications. The specific objective of this study is to describe how training data can be selected according to ethical assessments of the behavior it originates from, establishing an innovative filter regime to transition from the big data rationale n = all to a more selective way of processing data for training sets in machine learning. The overarching aim of this research is to promote methods for achieving beneficial machine learning applications that could be widely useful for industry as well as academia.



    Upload a copy of this work     Papers currently archived: 84,213

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

A Conceptual Framework Over Contextual Analysis of Concept Learning Within Human-Machine Interplays.Farshad Badie - 2017 - In Emerging Technologies for Education. Cham, Switzerland: pp. 65-74.
Human Semi-Supervised Learning.Bryan R. Gibson, Timothy T. Rogers & Xiaojin Zhu - 2013 - Topics in Cognitive Science 5 (1):132-172.
Concept Representation Analysis in the Context of Human-Machine Interactions.Farshad Badie - 2016 - In 14th International Conference on e-Society. pp. 55-61.
Bringing up Turing's 'Child-Machine'.Susan G. Sterrett - 2012 - In S. Barry Cooper (ed.), How the World Computes. pp. 703--713.
The Machine That Therefore I Am.James J. Brown - 2014 - Philosophy and Rhetoric 47 (4):494-514.
The Human Machine at the Aboagora Symposium.Anna Haapalainen - 2013 - Approaching Religion 3 (2):44-44.


Added to PP

13 (#806,653)

6 months
3 (#247,199)

Historical graph of downloads
How can I increase my downloads?