The book „Culturally Sustainable Social Robotics“ (eds. Marco Nørskov, Johanna Seibt, and Oliver Santiago Quick) was published in December 2020 by IOS Press. From the publisher’s information: „Robophilosophy conferences have been the world’s largest venues for humanities research in and on social robotics. The book at hand presents the proceedings of Robophilosophy Conference 2020: Culturally Sustainable Social Robotics, the fourth event in the international, biennial Robophilosophy Conference Series, which brought together close to 400 participants from 29 countries. The speakers of the conference, whose contributions are collected in this volume, were invited to offer concrete proposals for how the Humanities can help to shape a future where social robotics is guided by the goals of enhancing socio-cultural values rather than by utility alone. The book is divided into 3 parts; Abstracts of Plenaries, which contains 6 plenary sessions; Session Papers, with 44 papers under 8 thematic categories; and Workshops, containing 25 items on 5 selected topics.“ (Website IOS Press) Contributors include Robert Sparrow, Alan Winfield, Aimee van Wynsberghe, John Danaher, Johanna Seibt, Marco Nørskov, Peter Remmers, John P. Sullins, and Oliver Bendel.
Fig.: Culturally Sustainable Social Robotics
The proceedings of the AAAI conference 2016 have been published in March 2016 („The 2016 AAAI Spring Symposium Series: Technical Reports“). The symposium „Ethical and Moral Considerations in Non-Human Agents“ was dedicated to the discipline of machine ethics. Ron Arkin (Georgia Institute of Technology), Luís Moniz Pereira (Universidade Nova de Lisboa), Peter Asaro (New School for Public Engagement, New York) and Oliver Bendel (School of Business FHNW) spoke about moral and immoral machines. The contribution „Annotated Decision Trees for Simple Moral Machines“ (Oliver Bendel) can be found on the pages 195 – 201. In the abstract it is said: „Autonomization often follows after the automization on which it is based. More and more machines have to make decisions with moral implications. Machine ethics, which can be seen as an equivalent of human ethics, analyses the chances and limits of moral machines. So far, decision trees have not been commonly used for modelling moral machines. This article proposes an approach for creating annotated decision trees, and specifies their central components. The focus is on simple moral machines. The chances of such models are illustrated with the example of a self-driving car that is friendly to humans and animals. Finally the advantages and disadvantages are discussed and conclusions are drawn.“ The proceedings can be ordered via www.aaai.org.