By Samir Chopra
“An terribly strong synthesis from an awesome diversity of philosophical, criminal, and technological assets . . . the publication will entice criminal teachers and scholars, attorneys occupied with e-commerce and our on-line world felony matters, technologists, ethical philosophers, and clever lay readers drawn to excessive tech matters, privateness, [and] robotics.”—Kevin Ashley, college of Pittsburgh university of legislations As businesses and govt firms exchange human staff with on-line customer support and automatic mobilephone structures, we develop into acquainted with doing company with nonhuman brokers. If synthetic intelligence (AI) know-how advances as today’s major researchers are expecting, those brokers could quickly functionality with such constrained human enter that they seem to behave independently. once they in attaining that point of autonomy, what felony prestige should still they've got? Samir Chopra and Laurence F. White current a delicately reasoned dialogue of ways current philosophy and felony concept can accommodate more and more subtle AI expertise. Arguing for the criminal personhood of a man-made agent, the authors speak about what it capacity to assert it has “knowledge” and the power to determine. they think about key questions reminiscent of who needs to take accountability for an agent’s activities, whom the agent serves, and no matter if it could actually face a clash of curiosity.
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Additional resources for A Legal Theory for Autonomous Artificial Agents
We do not favor software agent as it would not cover embodied agents such as robots or hardware implementations such as neural network chips. We deprecate the terms intelligent agent or arti‹cial intelligence as we wish to emphasize the embedded, social, real-world nature of arti‹cial agents, rather than merely their disembodied intelligence. We use the term operator to designate the legal person who makes the arrangements, or on behalf of whom the arrangements are made, to operate the agent. Typically, this will be the natural person or other entity (such as a corporation) that makes the agent available to interact with users.
The comparison of technologies of automation to slave labor is not new. ) Such precedents can also be found in the history of American slavery, where, for instance, there was implicit recognition of slaves as legal agents of their owners by Virginia State Law: “The automatic acceptance of the slave’s agency was a recognition of his peculiarly human qualities of expertise, judgment, and reliability, which allowed owners to undertake dangerous and dif‹cult work with a labor force composed mainly of slaves.
Another super‹cially appealing method is to deploy the contractual doctrines of unilateral or mutual mistake. Indeed, Sommer (2000) suggests the availability of the doctrines renders a special-purpose approach to electronic contracting unnecessary. However, the doctrine of mistake is not obviously relevant to a case where an arti‹cial agent acts on behalf of a user in an unexpected way. 15 But in many cases, there would be no mutual mistake, simply a mistaken reliance by a user on the reliability or judgment deployed by his arti‹cial agent.
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