German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation-Reference-Cited by-同舟云学术

German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
language:
Short-container-title:

Author:

Sloane Mona¹,Zakrzewski Janina²

Affiliation:

1. University of Tübingen, Germany and New York University, USA

2. University of Tübingen, Germany

Funder

Bundesministerium für Bildung und Forschung BMBF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533156

Reference131 articles.

1. Fair Clustering via Equitable Group Representations

2. Werner Abelshauser . 1999. Vom wirtschaftlichen Wert der Mitbestimmung: Neue Perspektiven ihrer Geschichte in Deutschland . In Mitbestimmung in Deutschland: Tradition und Effizienz - Expertenberichte für die Kommission Mitbestimmung Bertelsmann Stiftung/Hans-Böckler-Stiftung , Wolfgang Streeck and Norbert Kluge (Eds.). Campus Verlag , New York, NY . Werner Abelshauser. 1999. Vom wirtschaftlichen Wert der Mitbestimmung: Neue Perspektiven ihrer Geschichte in Deutschland. In Mitbestimmung in Deutschland: Tradition und Effizienz - Expertenberichte für die Kommission Mitbestimmung Bertelsmann Stiftung/Hans-Böckler-Stiftung, Wolfgang Streeck and Norbert Kluge (Eds.). Campus Verlag, New York, NY.

3. Artificial Morality: Top-down, Bottom-up, and Hybrid Approaches

4. Mieke Bal . 2017 . Narratology: Introduction to the Theory of Narrative . University of Toronto Press , London. Mieke Bal. 2017. Narratology: Introduction to the Theory of Narrative. University of Toronto Press, London.

5. Problematic Machine Behavior

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Future of Ethical AI in Large Language Models;Advances in Computational Intelligence and Robotics;2024-08-30

2. Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability;Information Systems Frontiers;2024-07-02

3. Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau’s Adoption of Differential Privacy;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

4. From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

5. Transitioning Towards a Proactive Practice: A Longitudinal Field Study on the Implementation of a ML System in Adult Social Care;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11