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researcher

Nicolas Scharowski

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.HC1
ORCID 0000-0001-5983-346X

identity via Semantic Scholar / OpenAlex

most citedCertification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study

47 citations · 50 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CY2023★ 47 cited

Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study

Nicolas Scharowski, Michaela Benk, Swen J. Kühne +2

Auditing plays a pivotal role in the development of trustworthy AI. However, current research primarily focuses on creating auditable AI documentation, which is intended for regula…

cs.HC2023★ 3 cited

Distrust in (X)AI -- Measurement Artifact or Distinct Construct?

Nicolas Scharowski, Sebastian A. C. Perrig

Trust is a key motivation in developing explainable artificial intelligence (XAI). However, researchers attempting to measure trust in AI face numerous challenges, such as differen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.