Abstract
Technology that is able to learn inspired by us humans and the nature around us is a driver in the development of the technology of the future. In the Robotics and Intelligent Systems (ROBIN) research group, we have in two projects funded by the Research Council of Norway addressed how such technology can be useful in robot technology for the elderly who live alone at home and smartphone-based treatment in mental health. We study the extent to which we are able to say something about a person's mental, medical and physical condition using sensors on a mobile robot and sensors available in smartphones and sensor watches, respectively. For the elderly, this will be useful in the form of an automated personal security alarm, while in mental health, it will have the potential to provide continuous and customized follow-up of automated treatment. This also provides benefits such as better access and quality of health services but also introduces a number of ethical issues. In this lecture, both opportunities and ethical issues related to privacy, physical and electronic security will be discussed and illustrated with examples from our own projects. Among other things, we look at what can be achieved by performance with different types of sensors that collect less information and thus, increase privacy.