Z-inspection®: A holistic and analytic process to assess trustworthy AI
A team of international experts defined Z-inspection®: a novel holistic and analytic processes to assess Ethical AI
Framework for Trustworthy AI
Z-inspection® takes into account the “Framework for Trustworthy AI” and the seven key requirements that AI systems should meet in order to be deemed trustworthy, defined by the independent High-Level Expert Group of Artificial Intelligence, set by the European Commission, and also confirmed by a recent report of The Organization for Economic Co-operation and Development (OECD).
Z-Inspection® is based on 4 ethical principles based on fundamental rights:
Respect for human autonomy,
Prevention of harm,
Z-Inspection® uses the seven key requirements (values) for trustworthy AI:
Human agency and oversight
Technical robustness and safety
Privacy and data governance
Diversity, non-discrimination and fairness
Societal and environmental wellbeing
Trustworthy AI in practice
Z-inspection® is a general inspection process for Ethical AI which can be applied to a variety of domains such as business, healthcare, public sector, among many others.
It uses applied ethics. To the best of our knowledge, Z-inspection® is the first process that combines a holistic and analytic approach to assess Ethical AI in practice.
© 2020 by Roberto V. Zicari and his colleagues.
Z-inspection® is a registered trademark.
This work is distributed under the terms and conditions of the Creative Commons (Attribution-NonCommercial-ShareAlike CC BY-NC-SA) license.