Frontiers in Big Data: New Publication by Nikolaus Poechhacker and Severin Kacianka

16-02-2021

Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models

Nikolaus Poechhaker (Department Iris Eisenberger, Institute for Public Law and Political Science, University of Graz) has published a paper in “Frontiers in Big Data” together with Severin Kacianka (Department of Computer Science, Chair of Software and Systems Engineering, Technical University of Munich).

Frontiers in Big Data publishes rigorously peer-reviewed research on the cutting-edge, disruptive technological revolution of big data. It covers a broad range of topics in big datadata-driven sciences, and their various applications and forms.

The article by Nikolaus Poechhacker and Severin Kacianka focuses on “Algorithmic Accountability”, which raises the question, if algorithms can be held accountable. To investigate this, Poechhacker and Kacianka combine insights from social theory, more explicitly pragmatism, with the concept of causality as an expression of algorithmic accountability.

Using the concept of structural causal models, they conclude that causality must always be seen in the context of the social system in which it is applied. Those results lead to further, interdisciplinary research potential.

 

The paper is available as open access:

Poechhacker N and Kacianka S (2021) Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models. Front. Big Data 3:519957. doi: 10.3389/fdata.2020.519957