Amelie Sophie Robrecht

Bielefeld University

Papers

1

Total Citations

6

H-Index

1

About

Dr. Amelie Sophie Robrecht is a pioneering researcher at the intersection of Explainable Artificial Intelligence (XAI) and human-computer interaction, with a core focus on co-constructive explainability. Her most cited work, "Towards a Computational Architecture for Co-Constructive Explainable Systems" (2024, 6 citations), introduces a groundbreaking framework that reimagines explanation as a dynamic, collaborative process between an explainer and an explainee. Rather than treating explanations as static outputs, Robrecht's architecture models the interactive, iterative dialogue through which understanding is jointly built—a paradigm shift that challenges traditional one-way XAI approaches. This contribution is particularly impactful for developing intelligent systems and robots that can not only justify their decisions but also adapt their explanations in real-time based on user feedback. By formalizing co-construction, Robrecht provides a computational blueprint for more transparent, trustworthy AI. Her work is gaining traction among researchers seeking to bridge the gap between algorithmic transparency and genuine human comprehension, positioning her as a rising thought leader in human-centered AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Towards a Computational Architecture for Co-Constructive Explainable Systems
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Bielefeld University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 21 days ago