The paper proposes practical guidelines for approximate ethical goal functions in AI that aim to capture the variety of human moral judgements by integrating neuroscience, psychology, and augmented utilitarianism.
Defense Against the Dark Arts: An overview of adversarial example security research and future research directions
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abstract
This article presents a summary of a keynote lecture at the Deep Learning Security workshop at IEEE Security and Privacy 2018. This lecture summarizes the state of the art in defenses against adversarial examples and provides recommendations for future research directions on this topic.
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cs.AI 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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Requisite Variety in Ethical Utility Functions for AI Value Alignment
The paper proposes practical guidelines for approximate ethical goal functions in AI that aim to capture the variety of human moral judgements by integrating neuroscience, psychology, and augmented utilitarianism.