Minds and Machines

Papers
(The median citation count of Minds and Machines is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?124
A Pragmatic Approach to the Intentional Stance Semantic, Empirical and Ethical Considerations for the Design of Artificial Agents77
The Treachery of Images in the Digital Sovereignty Debate55
Ethics of Self-driving Cars: A Naturalistic Approach51
Dynamical Systems Implementation of Intrinsic Sentence Meaning48
Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots40
Trust Me on This One: Conforming to Conversational Assistants38
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems36
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text30
Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science29
How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment28
Explanations in AI as Claims of Tacit Knowledge28
Scientific Exploration and Explainable Artificial Intelligence23
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples21
Why Indirect Harms do not Support Social Robot Rights19
Submarine Cables and the Risks to Digital Sovereignty18
The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems18
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory18
Introduction to the Special Issue on “Artificial Speakers - Philosophical Questions and Implications”18
Attitudinal Tensions in the Joint Pursuit of Explainable and Trusted AI17
Is Your Neural Data Part of Your Mind? Exploring the Conceptual Basis of Mental Privacy17
How Robots’ Unintentional Metacommunication Affects Human–Robot Interactions. A Systemic Approach17
From Pluralistic Normative Principles to Autonomous-Agent Rules17
Are Propositional Attitudes Mental States?16
Ethics as a Service: A Pragmatic Operationalisation of AI Ethics13
Two Dimensions of Opacity and the Deep Learning Predicament13
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems12
AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind12
Causal and Evidential Conditionals10
What Might Machines Mean?10
A Dilemma for Dispositional Answers to Kripkenstein’s Challenge9
Explainable Artificial Intelligence in Data Science9
Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics?7
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?7
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models7
The Dawn of Social Robots: Anthropological and Ethical Issues7
Schema-Centred Unity and Process-Centred Pluralism of the Predictive Mind7
A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition7
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