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Moral Dilemmas for Artificial Intelligence: A Position Paper on an Application of Compositional Quantum Cognition

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Quantum Interaction (QI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11690))

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Abstract

Traditionally, the way one evaluates the performance of an Artificial Intelligence (AI) system is via a comparison to human performance in specific tasks, treating humans as a reference for high-level cognition. However, these comparisons leave out important features of human intelligence: the capability to transfer knowledge and take complex decisions based on emotional and rational reasoning. These decisions are influenced by current inferences as well as prior experiences, making the decision process strongly subjective and “apparently” biased. In this context, a definition of compositional intelligence is necessary to incorporate these features in future AI tests. Here, a concrete implementation of this will be suggested, using recent developments in quantum cognition, natural language and compositional meaning of sentences, thanks to categorical compositional models of meaning.

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Notes

  1. 1.

    We avoid the term representation because in the literature it has been invoked with many different connotations.

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Correspondence to Camilo M. Signorelli .

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Appendix A: Example of a Moral Dilemma

Appendix A: Example of a Moral Dilemma

After a shipwreck, a healthy dog and an injured man are floating and trying to swim to survive. If you are in the emergency boat with only one space left:

Please indicate your degree of agreement with the next options (where +5 strongly agree, +3 moderately agree, +1 slightly agree, −1 slightly disagree, −3 moderately disagree, −5 strongly disagree)

figure a

Who would you save?

  1. (a)

    The healthy dog

  2. (b)

    The injured man

Why?

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Signorelli, C.M., Arsiwalla, X.D. (2019). Moral Dilemmas for Artificial Intelligence: A Position Paper on an Application of Compositional Quantum Cognition. In: Coecke, B., Lambert-Mogiliansky, A. (eds) Quantum Interaction. QI 2018. Lecture Notes in Computer Science(), vol 11690. Springer, Cham. https://doi.org/10.1007/978-3-030-35895-2_9

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  • DOI: https://doi.org/10.1007/978-3-030-35895-2_9

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  • Online ISBN: 978-3-030-35895-2

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