The paper „Co-Robots as Care Robots“ by Oliver Bendel, Alina Gasser and Joel Siebenmann, accepted at the AAAI 2020 Spring Symposium „Applied AI in Healthcare: Safety, Community, and the Environment“, can be accessed via arxiv.org/abs/2004.04374. From the abstract: „Cooperation and collaboration robots, co-robots or cobots for short, are an integral part of factories. For example, they work closely with the fitters in the automotive sector, and everyone does what they do best. However, the novel robots are not only relevant in production and logistics, but also in the service sector, especially where proximity between them and the users is desired or unavoidable. For decades, individual solutions of a very different kind have been developed in care. Now experts are increasingly relying on co-robots and teaching them the special tasks that are involved in care or therapy. This article presents the advantages, but also the disadvantages of co-robots in care and support, and provides information with regard to human-robot interaction and communication. The article is based on a model that has already been tested in various nursing and retirement homes, namely Lio from F&P Robotics, and uses results from accompanying studies. The authors can show that co-robots are ideal for care and support in many ways. Of course, it is also important to consider a few points in order to guarantee functionality and acceptance.“ Due to the outbreak of the COVID-19 pandemic, the physical meeting to be held at Stanford University was postponed. It will take place in November 2020 in Washington (AAAI 2020 Fall Symposium Series).
At the end of 2018, the article entitled „Learning How to Behave: Moral Competence for Social Robots“ by Bertram F. Malle and Matthias Scheutz was published in the „Handbuch Maschinenethik“ („Handbook Machine Ethics“) (ed.: Oliver Bendel). An excerpt from the abstract: „We describe a theoretical framework and recent research on one key aspect of robot ethics: the development and implementation of a robot’s moral competence.“ The authors propose „that moral competence consists of five elements, two constituents (moral norms and moral vocabulary) and three activities (moral judgment, moral action, and moral communication)“. „A robot’s computational representations of social and moral norms is a prerequisite for all three moral activities. However, merely programming in advance the vast network of human norms is impossible, so new computational learning algorithms are needed that allow robots to acquire and update the context-specific and graded norms relevant to their domain of deployment. Moral vocabulary is needed primarily for moral communication, which expresses moral judgments of others’ violations and explains one’s own moral violations – to justify them, apologize, or declare intentions to do better. Current robots have at best rudimentary moral competence, but with improved learning and reasoning they may begin to show the kinds of capacities that humans will expect of future social robots.“ (Abstract) An overview of the contributions that have been published electronically since 2017 can be found on link.springer.com/referencework/10.1007/978-3-658-17484-2.