Dr. Clement Adebamowo
Professor of Epidemiology and Public Health and Associate Director (Population Science), Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore
About the Lab
The Center for Bioethics and Research (CBR) Ibadan, Nigeria introduces “Trustworthy AI Lab” with support of the Z-Inspection® Initiative, an interdisciplinary and international research community to evaluate and discuss the mindful use of artificial intelligence.
This initiative builds on the resources and expertise at CBR to provide training and support for assessment of trustworthiness of AI. The Z-Inspection® process is a validated assessment method that helps organizations deliver ethically sustainable, evidence-based, trustworthy, and user-friendly AI-driven solutions. The methodology is published in IEEE Transactions on Technology and Society
Z-Inspection® is distributed under the terms and conditions of the Creative Commons (Attribution-NonCommercial-ShareAlike CC BY-NC-SA) license.
Team Members
Dr. Sally Adebamowo
Associate Professor of Epidemiology and Public Health, and member of the Population Science Program at the Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore
Dr. Oluchi Maduka
Postdoctoral fellow at Center for Bioethics and Research. Oluchi is the Lab Manager at the CBR Trustworthy AI Lab in Ibadan, Nigeria.
Advisor
Prof. Roberto V. Zicari
the Z-Inspection® Initiative
Resources
How to Assess Trustworthy AI in practice
In seven minutes, you will learn the basis of the Z-Inspection® process.Z-Inspection®: A Process to Assess Trustworthy AI – R. V. Zicari et al, IEEE Transactions on Technology and Society, vol. 2, no. 2, pp. 83-97, June 2021, doi: 10.1109/TTS.2021.3066209.
- Artificial Intelligence and Law – A recording of a talk given by Dr. Roberto V. Zicari (which introduces the EU Framework for Trustworthy AI, his research on assessing trustworthy AI, and the EU AI Act) for the course of Dr. Seongwook Heo at the Seoul National University Law School on March 30, 2022.
- How to Assess Trustworthy AI in Practice – R. V. Zicari et al, obtained from Accessible arXiv, https://doi.org/10.48550/arXiv.2206.09887
News
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- Building an early warning system for LLM-aided biological threat creation