David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Minds and Machines 14 (3):349-379 (2004)
Artificial agents (AAs), particularly but not only those in Cyberspace, extend the class of entities that can be involved in moral situations. For they can be conceived of as moral patients (as entities that can be acted upon for good or evil) and also as moral agents (as entities that can perform actions, again for good or evil). In this paper, we clarify the concept of agent and go on to separate the concerns of morality and responsibility of agents (most interestingly for us, of AAs). We conclude that there is substantial and important scope, particularly in Computer Ethics, for the concept of moral agent not necessarily exhibiting free will, mental states or responsibility. This complements the more traditional approach, common at least since Montaigne and Descartes, which considers whether or not (artificial) agents have mental states, feelings, emotions and so on. By focussing directly on mind-less morality we are able to avoid that question and also many of the concerns of Artificial Intelligence. A vital component in our approach is the Method of Abstraction for analysing the level of abstraction (LoA) at which an agent is considered to act. The LoA is determined by the way in which one chooses to describe, analyse and discuss a system and its context. The Method of Abstraction is explained in terms of an interface or set of features or observables at a given LoA. Agenthood, and in particular moral agenthood, depends on a LoA. Our guidelines for agenthood are: interactivity (response to stimulus by change of state), autonomy (ability to change state without stimulus) and adaptability (ability to change the transition rules by which state is changed) at a given LoA. Morality may be thought of as a threshold defined on the observables in the interface determining the LoA under consideration. An agent is morally good if its actions all respect that threshold; and it is morally evil if some action violates it. That view is particularly informative when the agent constitutes a software or digital system, and the observables are numerical. Finally we review the consequences for Computer Ethics of our approach. In conclusion, this approach facilitates the discussion of the morality of agents not only in Cyberspace but also in the biosphere, where animals can be considered moral agents without their having to display free will, emotions or mental states, and in social contexts, where systems like organizations can play the role of moral agents. The primary cost of this facility is the extension of the class of agents and moral agents to embrace AAs.
|Keywords||artificial agents computer ethics levels of abstraction moral responsibility|
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Gunnar Björnsson & Kendy Hess (2016). Corporate Crocodile Tears? On the Reactive Attitudes of Corporate Agents. Philosophy and Phenomenological Research (1):n/a-n/a.
Luciano Floridi (2008). The Method of Levels of Abstraction. Minds and Machines 18 (3):303-329.
Mariarosaria Taddeo (2010). Modelling Trust in Artificial Agents, A First Step Toward the Analysis of E-Trust. Minds and Machines 20 (2):243-257.
Alison Adam (2005). Delegating and distributing morality: Can we inscribe privacy protection in a machine? [REVIEW] Ethics and Information Technology 7 (4):233-242.
Luciano Floridi (2005). The Ontological Interpretation of Informational Privacy. Ethics and Information Technology 7 (4):185-200.
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