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Ethics for Robots - How to Design a Moral Algorithm (Paperback)
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Ethics for Robots - How to Design a Moral Algorithm (Paperback)
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Ethics for Robots describes and defends a method for designing and
evaluating ethics algorithms for autonomous machines, such as
self-driving cars and search and rescue drones. Derek Leben argues
that such algorithms should be evaluated by how effectively they
accomplish the problem of cooperation among self-interested
organisms, and therefore, rather than simulating the psychological
systems that have evolved to solve this problem, engineers should
be tackling the problem itself, taking relevant lessons from our
moral psychology. Leben draws on the moral theory of John Rawls,
arguing that normative moral theories are attempts to develop
optimal solutions to the problem of cooperation. He claims that
Rawlsian Contractarianism leads to the 'Maximin' principle - the
action that maximizes the minimum value - and that the Maximin
principle is the most effective solution to the problem of
cooperation. He contrasts the Maximin principle with other
principles and shows how they can often produce non-cooperative
results. Using real-world examples - such as an autonomous vehicle
facing a situation where every action results in harm, home care
machines, and autonomous weapons systems - Leben contrasts Rawlsian
algorithms with alternatives derived from utilitarianism and
natural rights libertarianism. Including chapter summaries and a
glossary of technical terms, Ethics for Robots is essential reading
for philosophers, engineers, computer scientists, and cognitive
scientists working on the problem of ethics for autonomous systems.
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