The 2nd Computational Machine Ethics (CME) Workshop will be held in conjunction with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023). It will provide a forum for discussing recent research on methodological development in machine ethics and its impact on human societies. With the successful development of cognitive machines in a diverse range of application scenarios, there is an urgent need to enable these machines to behave morally following the behavioural norms and ethical principles established in human societies. Machine ethics is thus a subfield of AI ethics concerned with implementing moral and ethical behaviours in cognitive machines, i.e., to develop computational approaches to ensure ethical consideration in AI applications. In this way, cognitive machines will be adequately equipped with the moral and ethical competence to prevent physical, emotional or psychological harm and to maximise the benefits they can provide to society. In recent years various approaches have been developed, which can generally be categorised into logic-based formulations, learning-based methods and hybrid models. Nevertheless, compared to the extensive discussion in the press regarding the dangers of AI and rapid development of frameworks for regulating the ethical use of AI, machine ethics remains a relatively less explored field. In particular, how to represent ethical principles and reason about the best course of action for real-life scenarios in a generalisable way largely remains an open question. 

Continuing from the 1st CME Workshop that was held in conjunction with KR 2021, the 2nd CME workshop aims to provide a forum for researchers from academia and industry to exchange ideas and techniques in the area of machine ethics, to generate new ideas in the intersection of knowledge representation and reasoning and machine/deep learning, to promote widespread awareness of machine ethics in the AI community as well as identifying new research directions in the area. Besides regular research papers, we also welcome vision papers, demonstration papers and papers showcasing industry applications.

• Maurice Pagnucco, UNSW, Australia
  
• Yang Song, UNSW, Australia
• Louise Dennis, University of Manchester, UK

• Michael Anderson, University of Hartford, USA
• Jean-Gabriel Ganascia, Sorbonne University, France
• Randy Goebel, University of Alberta, Canada
• Gerhard Lakemeyer, RWTH Aachen, Germany
• Beishui Liao, Zhejiang University, China
• Emiliano Lorini, University Paul Sabatier, France
• Katina Michael, Arizona State University, USA
• Vivek Nallur, University College Dublin, Ireland
• Abhaya Nayak, Macquarie University, Australia
• Ken Satoh, National Institute of Informatics, Japan
• Leon van der Torre, University of Luxembourg, Luxembourg

Paper notification: 4 July 2023