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Roberto V. Zicari
Adjunct Professor at Seoul National University, Graduate School of Data Science
Roberto V. Zicari is an internationally recognized expert in the fields of Databases, Big Data, Ethics and AI, Innovation, and Entrepreneurship.12 He is currently:
- An affiliated professor at Yrkeshögskolan Arcada, Helsinki, Finland12
- An adjunct professor at Seoul National University, South Korea12
- A Visiting Fellow at the Robert Schuman Centre for Advanced Studies, European University Institute1
- The leader of a team of international experts who defined an assessment process for Trustworthy AI, called Z-Inspection®2
Previously, Zicari was a professor of Database and Information Systems (DBIS) at Goethe University Frankfurt, Germany, where he founded the Frankfurt Big Data Lab.1 He has also been a visiting professor at the Center for Entrepreneurship and Technology within the Department of Industrial Engineering and Operations Research at UC Berkeley, USA.12
Zicari is the editor of the ODBMS.org web portal and the ODBMS Industry Watch Blog.14 His recent work includes co-designing trustworthy AI systems in healthcare, particularly focusing on deep learning-based skin lesion classifiers.3
As of February 2025, Zicari is supported by the Brain Pool Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT.5 This aligns with his current role as an adjunct professor at Seoul National University and his ongoing work in Trustworthy AI.6
Highlights
"The most common theme we hear are individuals using vector databases and GenAI struggling to move beyond an exploratory phase and effectively put something new into practice while achieving a return on investment. "
--Michael Gilfix, Chief Product & Engineering Officer, KX
https://lnkd.in/eKB8rZsN
Holly Spiers #VectorDatabases #GenAI
We started our research work in early 2019.
Published the process in 2021:
👉 R. V. Zicari et al., "Z-Inspection®: A Process to Assess Trustworthy AI," in IEEE Transactions on Technology and Society, vol. 2, no. 2, pp. 83-97, June 2021, doi: 10.1109/TTS.2021.3066209. https://lnkd.in/ezY-XmVA
Abstract: The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics, namely, Z-Inspection ® , to assess if an AI system is trustworthy. We use the definition of trustworthy AI given by the high-level European Commission's expert group on AI. Z-Inspection ® is a general inspection process that can be applied to a variety of domains where AI systems are used, such as business, healthcare, and public sector, among many others. To the best of our knowledge, Z-Inspection ® is the first process to assess trustworthy AI in practice.
🌏 Now we have a network of world-wide affiliated partners: https://lnkd.in/daPP3tcN
Z-Inspection® Initiative and Trustworthy AI Labs #trustworthyAI #ResponsibleAI #AI #ArtificialIntelligence #AIEthics European Commission MANOLO Project
