Guest Editors' Introduction: Machine Ethics

  title={Guest Editors' Introduction: Machine Ethics},
  author={Michael Anderson and Susan Leigh Anderson},
  journal={IEEE Intelligent Systems},
Machine ethics is concerned with how machines behave toward human users and other machines. It aims to create a machine that's guided by an acceptable ethical principle or set of principles in the decisions it makes about possible courses of action it could take. As ethics experts continue to progress toward consensus concerning the right way to behave in ethical dilemmas, the task for those working in machine ethics is to codify these insights. Eight articles in this special issue address the… 

Motivations and Risks of Machine Ethics

It is argued that while there are good prima facie reasons for pursuing machine ethics, including the potential to improve the ethical alignment of both humans and machines, there are also potential risks that must be considered.

An analysis of machine ethics from the perspective of autonomy

This work provides a view on the current research on autonomous systems and aims to show that classic ethics guiding human researchers is what is really needed.

Computational ethics

Computational ethics Trends in Cognitive Sciences

A framework to inform the engineering of ethical AI systems, and to characterize human moral judgment and decision-making in computational terms is proposed, which will create the opportunity to integrate diverse research questions, bring together multiple academic communities, uncover new interdisciplinary research topics, and shed light on centuries-old philosophical questions.

Software Agents, Anticipatory Ethics, and Accountability

This chapter takes up a case study of the accountability issues around increasingly autonomous computer systems. In this early phase of their development, certain computer systems are being referred

Synthetic Deliberation: Can Emulated Imagination Enhance Machine Ethics?

A potential path to AI ethics is explored by considering the role of imagination in the deliberative process via the work of John Dewey and his interpreters, showcasing one form of reinforcement learning that mimics imaginative deliberation and contend that such an artificial agent is capable of something very near ethical behavior.

The Rights of Machines: Caring for Robotic Care-Givers

Work in the field of machine medical ethics, especially as it applies to healthcare robots, generally focuses attention on controlling the decision making capabilities and actions of autonomous

Robot minds and human ethics: the need for a comprehensive model of moral decision making

Building artificial moral agents (AMAs) underscores the fragmentary character of presently available models of human ethical behavior. It is a distinctly different enterprise from either the attempt

Trust and Cooperation

  • B. Kuipers
  • Economics
    Frontiers in Robotics and AI
  • 2022
We AI researchers are concerned about the potential impact of artificially intelligent systems on humanity. In the first half of this essay, I argue that ethics is an evolved body of cultural

A Multi-Agent Approach to Combine Reasoning and Learning for an Ethical Behavior

This paper draws upon existing works to propose a novel hybrid method using symbolic judging agents to evaluate the ethics of learning agents' behaviors, and accordingly improve their ability to ethically behave in dynamic multi-agent environments.