Deceptive and Counter-Deceptive Machines

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Deceptive and Counter-Deceptive Machines: Papers from the AAAI Fall Symposium

Micah H. Clark, Chair

November 12–14, 2015, Arlington, Virginia
Technical Report FS-15-03
68 pp.

Electronic Version of the Technical Report (Download only): $10.00 (Special Introductory Price)

Softcover version of the technical report: $30.00 softcover
(For international orders please shipping options before ordering on website.)
ISBN 978-1-57735-749-0
 

From the Turing Test to HAL 9000 to Blade Runner to today's Ex Machina, both rigorous and popular analysis of deception and counter-deception has been part of AI, and part of the larger world fascinated by AI. Moreover, deceptive and counter-deceptive machines are a foreseeable byproduct of our technologized society wherein intelligent systems are rapidly becoming more active and interactive in human physical, economic, and social spheres.

Currently, socialized AI systems are being advanced in areas such as affective and persuasive computing, social and cognitive robotics, human-robot interaction, multi-agent and decision-support systems, and e-commerce. The general belief is that socialization enables or significantly improves system efficiency and efficacy. But then, what is role of deception, even altruistic deception, and counter-deception in these systems? For example: Does robo-therapy or affective computing engender false beliefs that AI artifacts are fully sentient and, specifically, genuinely empathetic? Should AI produce machines that deceive for the greater good (for example, espionage) or should that role be the exclusive province of humans?

The symposium focuses on the emerging science and engineering of machine deception and counter-deception. It will explore questions such as: How and when can machines deceive us and each other? Can we effectively use machines to counter deception perpetrated by machines, and by humans? Can there be both a science and engineering of machine deception and counter-deception? If so, what would it look like? What ethical or policy principles might guide the science of machine deception and counter-deception?

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