Download PDF by Samir Chopra: A Legal Theory for Autonomous Artificial Agents

By Samir Chopra

“An terribly strong synthesis from an grand variety of philosophical, felony, and technological assets . . .  the publication will attract criminal lecturers and scholars, legal professionals fascinated about e-commerce and our on-line world criminal matters, technologists, ethical philosophers, and clever lay readers attracted to excessive tech concerns, privateness, [and] robotics.”—Kevin Ashley, collage of Pittsburgh college of legislations   As businesses and govt businesses change human staff with on-line customer support and automatic cell structures, we turn into acquainted with doing company with nonhuman brokers. If man made intelligence (AI) expertise advances as today’s best researchers are expecting, those brokers could quickly functionality with such restricted human enter that they seem to behave independently. once they in achieving that point of autonomy, what criminal prestige may still they've got? Samir Chopra and Laurence F. White current a gently reasoned dialogue of the way present philosophy and criminal concept can accommodate more and more subtle AI expertise. Arguing for the felony personhood of a synthetic agent, the authors speak about what it capacity to assert it has “knowledge” and the facility to decide. they think about key questions comparable to who needs to take accountability for an agent’s activities, whom the agent serves, and no matter if it may face a clash of curiosity.  

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Extra resources for A Legal Theory for Autonomous Artificial Agents

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The topic of attribution of knowledge requires a discussion of some foundational and philosophical notions: When can we say that an arti‹cial agent knows something? , the human being or corporation on behalf of whom the agent is operating)? We devise a pragmatic, capacity-based analysis of knowledge attribution for arti‹cial agents that extends traditional philosophical analysis in a manner appropriate for the case of arti‹cial agents, and is framed in a manner suitable for use in legal attributions of knowledge to arti‹cial agents.

All agents are not alike: thus, arti‹cial agents carrying out particular categories of tasks could be treated as legal agents, with extensions to further categories being revisited as and when the need arises. ”39 Such an approach would consider them not to be “actual” agents, while acknowledging how they are used makes it appropriate to treat them as though they were agents. This solution, however, while being a linguistic variation that might accomplish our substantive goals, suffers on two counts: It makes a distinction between “actual” and “treated as if” that has already been implicitly dismissed by our adoption of the intentional stance.

But the agent may also have authority resulting from such a manifestation made by the principal to a third party; such authority is called apparent authority. (Reynolds 2006, articles 1(2) and 1(3)) The possibility of apparent authority provides an alternative to actual authority, and one that does not require a manifestation of assent by the principal to the agent. This also avoids the need to postulate the agent’s consent to such a manifestation. There would thus be suf‹cient reason to give rise to a legal agency by reason of the conduct of the principal alone in clothing the agent with authority (for instance, the initialization and con‹guration of a website along with its shopping agents, or the deployment of a mobile pricebot) and providing it with the means of entering into contracts with third parties (by running and maintaining its code).

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