What did we learn in assessing Trustworthy AI in practice? AI Ethics Online with Roberto Zicari, from Goethe University Frankfurt.
Started January 2019, a team of International researchers started to develop a process to assess Trustworthy AI in practice, called Z-inspection. So far, the process has been used to assess AI systems in healthcare. In this talk Roberto will report the main lessons learned in assessing several use cases for trustworthy AI in healthcare, namely:
– AI for predicting Cardiovascular Risks
– Machine learning and supportive tool to recognize cardiac arrest in emergency calls
– Deep learning based Skin Lesion Classifiers
Starting march 2021 will work on this new use case: Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID–19 patients.
Zoom link will be sent out to registered participants.