Schlagworte: Machine Morality

Towards a Proxy Morality

Machine ethics produces moral and immoral machines. The morality is usually fixed, e.g. by programmed meta-rules and rules. The machine is thus capable of certain actions, not others. However, another approach is the morality menu (MOME for short). With this, the owner or user transfers his or her own morality onto the machine. The machine behaves in the same way as he or she would behave, in detail. Together with his teams, Prof. Dr. Oliver Bendel developed several artifacts of machine ethics at his university from 2013 to 2018. For one of them, he designed a morality menu that has not yet been implemented. Another concept exists for a virtual assistant that can make reservations and orders for its owner more or less independently. In the article „The Morality Menu“ the author introduces the idea of the morality menu in the context of two concrete machines. Then he discusses advantages and disadvantages and presents possibilities for improvement. A morality menu can be a valuable extension for certain moral machines. You can download the article here.

Fig.: A proxy machine

Moral Competence for Social Robots

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.