Results 11 to 20 of about 103,780 (344)
AI deception: A survey of examples, risks, and potential solutions [PDF]
Patterns, 2023 Summary: This paper argues that a range of current AI systems have learned how to deceive humans. We define deception as the systematic inducement of false beliefs in the pursuit of some outcome other than the truth. We first survey empirical examples of
Peter S. Park +4 more
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The evolution of deception [PDF]
Royal Society Open Science, 2021 Deception plays a critical role in the dissemination of information, and has important consequences on the functioning of cultural, market-based and democratic institutions.
Ştefan Sarkadi +4 more
doaj +6 more sources
Sensors, 2022 With information systems worldwide being attacked daily, analogies from traditional warfare are apt, and deception tactics have historically proven effective as both a strategy and a technique for Defense.
Pilla Vaishno Mohan +5 more
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Evaluating Synthetic Cyber Deception Strategies Under Uncertainty via Game Theory Approach: Linking Information Leakage and Game Outcomes in Cyber Deception [PDF]
SensorsThe study develops a game-theoretic evaluation framework for cyber deception that quantifies deception benefit relative to an otherwise matched non-deceptive baseline and links strategic outcomes to information disclosure. A defender–attacker interaction
Mohammad Shahin +2 more
doaj +2 more sources
You can’t kid a kidder: Association between production and detection of deception in an interactive deception task [PDF]
Frontiers in Human Neuroscience, 2012 Both the ability to deceive others, and the ability to detect deception, have long been proposed to confer an evolutionary advantage. Deception detection has been studied extensively, and the finding that typical individuals fare little better than ...
Gordon R.T. Wright +2 more
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THE UBIQUITY OF DECEPTION AND THE ETHICS OF DECEPTIVE RESEARCH
Bioethics, 2008 ABSTRACTDoes the fact that deception is widely practised – even though there is a general prohibition against deception – provide insight into the ethics of deceptive methods in research, especially for social‐behavioral research?I answer in the affirmative.
Benham, Bryan
openaire +3 more sources
Bioethics, 1999 Convinced of hope’s therapeutic benefits, physicians routinely support patients’ false hopes, often with family collusion and vague, euphemistic diagnoses and prognoses, if not overt lies. Bioethicists charge them with paternalistic violations of Patient Autonomy.There are, I think, too many morally significant exceptions to accept the physician’s ...
Ruddick, William
openaire +3 more sources
Deception and Self-Deception [PDF]
SSRN Electronic Journal, 2016 Why are people so often overconfident? We conduct an experiment to test the hypothesis that people become overconfident to more effectively persuade or deceive others. After performing a cognitively challenging task, half of our subjects are informed that they can earn money by convincing others of their superior performance.
Peter Schwardmann, Joël van der Weele
openaire +7 more sources
Deception abilities emerged in large language models [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2023 Significance This study unravels a concerning capability in Large Language Models (LLMs): the ability to understand and induce deception strategies. As LLMs like GPT-4 intertwine with human communication, aligning them with human values becomes paramount.
Thilo Hagendorff
semanticscholar +1 more source
Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks [PDF]
2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS), 2023 Deception detection is gaining increasing interest due to ethical and security concerns. This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection.
Panfeng Li +5 more
semanticscholar +1 more source