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In this paper, I attempt to address a fundamental challenge for machine intelligence: to understand whether and how a machine’s internal states and external outputs can exhibit original non-derivative intentionality. This question has three aspects. First, what does it take for a machine to exhibit original  de dicto  intentionality? Second, what does it take to exhibit original  de re  intentionality? Third, what is required for the machine to  defer  to the external objective world by respecting the word-to-world direction of fit? I attempt to answer the first challenge by providing a constitutive counts-as understanding of  de dicto  intentionality. This analysis involves repurposing Kant’s vision of a self-legislating agent as a specification of a machine that reprograms itself. I attempt to answer the second and third challenges by extending Kant’s synchronic model of  de dicto  intentionality with Brandom’s interpretation of Hegel’s diachronic model of  de re  intentionality, using Hegel’s notion of recollection to provide an understanding of what is involved in achieving deference to the external world.

Self-Legislating Machines: What can Kant Teach Us about Original Intentionality?