Ulrich Leicht‐Deobald

Sociology and Political Science · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 23 citations into it
• Safety Research — 18 citations into it
• AI Ethics, Fairness & Society — 9 citations into it
• Information Systems — 8 citations into it
• Management Information Systems — 8 citations into it
• Organizational Behavior and Human Resource Management — 8 citations into it
• Computer Science Applications — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Ulrich Leicht‐Deobald trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Taina Bucher
2. Kirsten E. Martin
3. Daniel Neyland
4. Kate Crawford
5. David Beer
6. Paul Dourish
7. Shoshana Zuboff
8. Scott Kushner
9. Nick Seaver
10. Jeffrey M. Stanton

Papers from Ulrich Leicht‐Deobald's perspective

Ordered by how strongly the researchers Ulrich Leicht‐Deobald trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Relevance of Algorithms
2. The Black Box Society: The Secret Algorithms That Control Money and Information
3. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
4. Big Data's Disparate Impact
5. Want to be on the top? Algorithmic power and the threat of invisibility on Facebook (New Media & Society)
6. Algorithmic culture
7. Bearing Account-able Witness to the Ethical Algorithmic System
8. CRITICAL QUESTIONS FOR BIG DATA
9. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability
10. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Their papers

• The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity (2019) — 298 citations