Together with the DFKI team we completed the first part of the Trustworthy AI co-design for this use case.
Ethically aligned co-design
The main contribution of our work is to show the use of an ethically aligned co-design methodology to ensure a trustworthiness early design of an artificial intelligence (AI) system component for healthcare. The system is aimed to explain the decisions made by deep learning networks when used to analyze images of skin lesions. For that, we use a holistic process, called Z-inspection®, which requires a multidisciplinary team of experts working together with the AI designers and their managers to explore and investigate possible ethical, legal and technical issues that could arise from the future use of the AI system. Our research work is addressing the need for the co-design of trustworthy AI using a holistic approach, rather then using static ethical checklists. Our results can also serve as guidance for other early-phase AI-similar tool developments.
What did we learn in assessing Trustworthy AI in practice?
Roberto V. Zicari, Z-Inspection® Initiative
AI Ethics online–Chalmers, April 20, 2021