30 citations · 34 across the 8 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.IR2022★ 3 cited
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI
Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund +2
Assessing the trustworthiness of artificial intelligence systems requires knowledge from many different disciplines. These disciplines do not necessarily share concepts between the…
cs.CY2022★ 30 cited
How to Assess Trustworthy AI in Practice
Roberto V. Zicari, Julia Amann, Frédérick Bruneault +17
This report is a methodological reflection on Z-Inspection. Z-Inspection is a holistic process used to evaluate the trustworthiness of A…