Machine Ethics: Creating an Ethical Intelligent Agent

By Michael Anderson, Susan Leigh Anderson. The AI Magazine, 2007

410 citations recorded by the source corpus.

The newly emerging field of machine ethics (Anderson and Anderson 2006) is concerned with adding an ethical dimension to machines. Unlike computer ethics -- which has traditionally focused on ethical issues surrounding humans' use of machines -- machine ethics is concerned with ensuring that the behavior of machines toward human users, and perhaps other machines as well, is ethically acceptable. In this article we discuss the importance of machine ethics, the need for machines that represent ethical principles explicitly, and the challenges facing those working on machine ethics. We also give an example of current research in the field that shows that it is possible, at least in a limited domain, for a machine to abstract an ethical principle from examples of correct ethical judgments and use that principle to guide its own behavior.

View Paper: https://www.semanticscholar.org/paper/a0f1a071b3f1c37b988e2be70e7e0865b4ff65cd

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Citations in the corpus

Leakproofing the Singularity Artificial Intelligence Confinement Problem (2012, background): “The experts should all be trained AI safety engineers, meaning that they are familiar with the design of the AI and its confinement environment as well as the latest developments in machine ethics (Allen et al., 2006; Anderson & Anderson, 2007; Hall, 2000; Moor, 2006; Tonkens, 2009).”
The ethics of algorithms: Mapping the debate (2016, unknown): “…the nature of moral agency in machines, work in machine ethics also investigates how best to design moral reasoning and behaviours into autonomous algorithms as artiﬁcial moral and ethical agents 18 (Anderson and Anderson, 2007; Crnkovic and C¸u¨ru¨klu¨, 2011; Sullins, 2006; Wiegel and Berg, 2009).”
Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes (2020, background): “nd Tegmark 2015; Amodei et al. 2016). Beyond beneﬁcial AI, machine ethics investigates how machines should understand and implement ethical behavior (Waldrop 1987; Anderson, Anderson, and Armen 2005; Anderson and Anderson 2007, 2011). Despite decades of interest, the ﬁeld remains fragmented and inte”
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “However, de ﬁ ning ethics for machines has proven to be di ﬃ cult, and to make it computable has been even more dif-ﬁ cult (Anderson & Leigh 2007).”
Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory (2020, unknown): “…to AI anxiety: (1) privacy violation anxiety [10], (2) bias behavior anxiety [51], (3) job replacement anxiety [50], (4) learning anxiety [50], (5) existential risk anxiety [20], (6) ethics violation anxiety [52], (7) artificial consciousness anxiety [53], and (8) lack of transparency anxiety [15].”
Introduction to MAchine Learning & Knowledge Extraction (MAKE) (2017, background): “Here it is important not only to take care of ethics in the sense of how humans use computational approaches, instead to deal with machine learning ethics, which is concerning the ethical dimension to ensuring that the behavior of machines toward human users is ethically acceptable [113], which is o”
Agents, Bodies, Constraints, Dynamics, and Evolution (2009, unknown): “Many researchers are working on this (Anderson and Anderson 2007).”
Ethics of artificial intelligence and robotics (2020, background): “Some pronouncements sound like they include all matters of human machine design: “machine ethics is concerned with ensuring that the behavior of machines toward human users, and perhaps other machines as well, is ethically acceptable” (Anderson and Anderson 2007, 15).”