Attribution of autonomy and its role in robotic language acquisition

AI and Society 37 (2):605-617 (2022)
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Abstract

The false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article, we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot’s behavioral repertoire, we were able to bring naïve human tutors to engage in so called intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot’s active vocabulary. We will analyze participants’ non-negative emotional and volitional speech and contrast it with participants’ speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed.

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References found in this work

The symbol grounding problem.Stevan Harnad - 1990 - Physica D 42:335-346.
Personal autonomy.Sarah Buss - 2008 - Stanford Encyclopedia of Philosophy.
On the human ‘interactional engine.Stephen C. Levinson - 2006 - In N. J. Enfield and S. C. Levinson , Roots Of.
Socially intelligent robots: dimensions of human-robot interaction.Kerstin Dautenhahn - 2007 - In Nathan Emery, Nicola Clayton & Chris Frith (eds.), Social Intelligence: From Brain to Culture. Oxford University Press.
Interactional biases in human thinking.Stephen C. Levinson - 1995 - Social Intelligence and Interaction.

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