Algorithmic Regulation: A Critical Interrogation

By Karen Yeung. 2018

534 citations recorded by the source corpus.

Subfields: Safety Research, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/887bf6e3dca2cbeca2f77edc48686d01f11417d7

How researchers see this paper

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

In Safety Research

1. Christian Haas
2. Simon Caton
3. Madalina Busuioc

In Sociology and Political Science

1. Christian Haas
2. Simon Caton
3. Madalina Busuioc

In Strategy and Management

1. Christian Haas
2. Simon Caton
3. Madalina Busuioc

Citations in the corpus

• Fairness in Machine Learning: A Survey (2020, background): “We note that many variables are explicitly defined as “sensitive” by specific legal frameworks; see References [25, 129, 130, 191, 192, 209, 268, 280, 306] and the references therein.”
• Accountable Artificial Intelligence: Holding Algorithms to Account (2020, background): “…important concerns about meaningful oversight and accountability (Bullock 2019; Diakopoulos 2014; European Parliament Study 2019; Pasquale 2015; Yeung 2018; Yeung and Lodge 2019; Young, Bullock, and Lecy 2019) and the need to identify and diagnose where the potential for accountability…”