Best Practice: Deep Learning based Skin Lesion Classifiers.

On the Ethics of AI-based Algorithmic decision-making in Healthcare.

Assessing Trustworthy AI. Best Practice: Deep Learning based Skin Lesion Classifiers.

In cooperation with

German Research Center for Artificial Intelligence GmbH (DFKI)

Approach

The team of Dr. Andreas Dengel at the German Research Center for Artificial Intelligence(DFKI) used a well-trained and high performing neural network for classification of three skin tumours, i.e. Melanocytic Naevi, Melanoma and Seborrheic Keratosis and performed a detailed analysis on its latent space.

The result of their work is available here: IJCNN_Interpretability (1)

We will work with Andreas Dengel and his team and apply our Z-inspection® process to assess the ethical, technical and legal implications of using Deep Learning in this context.

On the Ethics of AI-based Algorithmic decision-making in Healthcare.

Assessing Trustworthy AI. Best Practice: Deep Learning based Skin Lesion Classifiers.

Approach

With Z-Inspection® we want to help to establish what we call a Mindful Use of AI (#MUAI).