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  1. Embodied AI beyond Embodied Cognition and Enactivism.Riccardo Manzotti - 2019 - Philosophies 4 (3):39.
    Over the last three decades, the rise of embodied cognition (EC) articulated in various schools (or versions) of embodied, embedded, extended and enacted cognition (Gallagher’s 4E) has offered AI a way out of traditional computationalism—an approach (or an understanding) loosely referred to as embodied AI. This view has split into various branches ranging from a weak form on the brink of functionalism (loosely represented by Clarks’ parity principle) to a strong form (often corresponding to autopoietic-friendly enactivism) suggesting that body−world interactions (...)
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  • Social epistemic actions.Giovanni Pezzulo, Laura Barca, Domenico Maisto & Francesco Donnarumma - 2020 - Behavioral and Brain Sciences 43.
    We consider the ways humans engage in social epistemic actions, to guide each other's attention, prediction, and learning processes towards salient information, at the timescale of online social interaction and joint action. This parallels the active guidance of other's attention, prediction, and learning processes at the longer timescale of niche construction and cultural practices, as discussed in the target article.
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  • Instantaneous systems of communicative conventions through virtual bargaining.Jennifer Misyak & Nick Chater - 2022 - Cognition 225 (C):105097.
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  • The system of autono‑mobility: computer vision and urban complexity—reflections on artificial intelligence at urban scale.Fabio Iapaolo - 2023 - AI and Society 38 (3):1111-1122.
    Focused on city-scale automation, and using self-driving cars (SDCs) as a case study, this article reflects on the role of AI—and in particular, computer vision systems used for mapping and navigation—as a catalyst for urban transformation. Urban research commonly presents AI and cities as having a one-way cause-and-effect relationship, giving undue weight to AI’s impact on cities and overlooking the role of cities in shaping AI. Working at the intersection of data science and social research, this paper aims to counter (...)
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  • Algorithm exploitation: humans are keen to exploit benevolent AI.Jurgis Karpus, Adrian Krüger, Julia Tovar Verba, Bahador Bahrami & Ophelia Deroy - 2021 - iScience 24 (6):102679.
    We cooperate with other people despite the risk of being exploited or hurt. If future artificial intelligence (AI) systems are benevolent and cooperative toward us, what will we do in return? Here we show that our cooperative dispositions are weaker when we interact with AI. In nine experiments, humans interacted with either another human or an AI agent in four classic social dilemma economic games and a newly designed game of Reciprocity that we introduce here. Contrary to the hypothesis that (...)
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