Governance of algorithms: options and limitations

By Florian Saurwein, Natascha Just, Michael Latzer. 2015

80 citations recorded by the source corpus.

Subfields: Information Systems, Safety Research, Strategy and Management

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Maranke Wieringa
2. Nicholas A. Diakopoulos
3. Bernhard Rieder
4. Mark Coddington
5. Alina Köchling
6. Marius Claus Wehner

In Safety Research

1. Maranke Wieringa
2. Michael Koliska
3. Nicholas A. Diakopoulos
4. Alun David Preece
5. Bernhard Rieder
6. Luca Mossink
7. Nils C. Köbis
8. Donghee Shin

In Strategy and Management

1. Michael Koliska
2. Nicholas A. Diakopoulos
3. Maranke Wieringa

Citations in the corpus

• What to account for when accounting for algorithms: a systematic literature review on algorithmic accountability (2020, background): “We may also wonder how much information the user is given as to the decision/workings of the system [40, 101], and whether or not they can dispute that decision [40, 56, 101, 124].”
• Algorithmic Transparency in the News Media (2017, background): “Self-regulation in news media accountability and algorithmic governance is not well incentivized (Fengler and Russ-Mohl 2014; Saurwein et al. 2015), but a focus on user experience may provide a motivating path to implement transparency.”