The focus of the workshop is on safe AI for perception in the automotive environment. For the practicable implementation, it is necessary to have basic conditions which are described in standardizations (e.g. Functional Safety Design see Fig. 1). These have to be created with the participation of AI experts. Therefore we will broaden the horizon of topics and discuss current work in the creation of standardizations. The intensive treatment of Safe AI inevitably involves ethical aspects, which we want to give a stage. In addition, Safe AI is interesting for us in other areas besides the automotive industry, in order to possibly discuss transferability.
In summary, the main topic is Safe AI in perception plus three adjacent areas standardization in Safe AI, ethics and the Safe AI from areas other than the automotive industry and its transferability. In order to promote the exchange on these topics.
All the safety enhancement mechanisms that are aiming for more safety can be divided into the development process of DNNs. Specification, Data and DNN Architecture Selection, Training, Evaluation / Testing and Monitoring.
In addition, the workshop serves as a starting point for topics that are strongly linked to Safe AI. Standardization efforts in the area of Safe AI are uncharted territory and require close interaction with safety experts who are familiar with functional safety and its standardization.