Ethical Assessment for Trustworthy AI

The Ethical Assessment for Trustworthy AI organized by the LEN.IA - AI & Digital Ethics Lab brings together multidisciplinary teams in order to provide ethical assessments of digital intelligence systems. The independent workshops in Montreal, Quebec, Canada allow experts in computer science, engineering, philosophy, ethics, social sciences, law, other disciplines related to the cases and stakeholders to conduct a reflexive analysis of the ethical issues raised by these systems and to ensure that they are trustworthy.

The workshops are organized based on the international expertise developed around the Z-Inspection® initiative, itself based on the European Commission's Ethics Guidelines for Trustworthy AI.

To request an Ethical Assessment for Trustworthy AI, please contact us.

The Ethical and Trustworthy AI Lab at Illinois Institute of Technology’s Center for the Study of Ethics in the Professions (Chicago, USA).

The Laboratory for Trustworthy AI at Arcada University of Applied Sciences (Helsinki, Finland).

Trustworthy AI Lab Venice at Venice Urban Lab (Venice, Italy).

Trustworthy AI Lab at the University of Copenhagen, (Copenhagen, Denmark).

The Trustworthy AI Lab at L3S Research Center Leibniz, University Hannover, (Hannover, Germany).

The Laboratory for Ethical and Trustworthy AI in Practice at the Swinburne University of Technology Sarawak Campus (Sarawak, Malaysia).

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems. PLOS Digit Health 1(2), February 2022.

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls. Front. Hum. Dyn., July 2021.

Co-design of a Trustworthy AI System in Healthcare: Deep Learning based Skin Lesion Classifier. Front. Hum. Dyn., July 2021.

Z-Inspection®: A Process to Assess Trustworthy AI. IEEE Transactions on Technology and Society, 2021.

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