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Black Boxes or Unflattering Mirrors? Comparative Bias in the Science of Machine Behaviour

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Wiley Interdisciplinary Reviews: Cognitive Science
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Morgan’s Canon, meet Hume’s Dictum: avoiding anthropofabulation in cross-species comparisons
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The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence
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The State Space of Artificial Intelligence
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Must cognition be representational?
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Rethinking the problem of cognition
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Empiricism without magic: transformational abstraction in deep convolutional neural networks
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Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction
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Transparency in Algorithmic and Human Decision-Making: Is There a Double Standard?
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Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence
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Anthropomorphism, primatomorphism, mammalomorphism: understanding cross-species comparisons
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Intelligence without representation
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Connectionism and cognitive architecture: A critical analysis
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Development of the appearance-reality distinction
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Anthropomorphism and AI: Turingʼs much misunderstood imitation game
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Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences
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Neuroscience-Inspired Artificial Intelligence
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The modal argument for hypercomputing minds
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The Measure of All Minds
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The Evolution of Language
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Affect, cognition, and awareness: Affective priming with optimal and suboptimal stimulus exposures.
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Locating object knowledge in the brain: Comment on Bowers’s (2009) attempt to revive the grandmother cell hypothesis.
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Deep learning
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Using goal-driven deep learning models to understand sensory cortex
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Explicit information for category-orthogonal object properties increases along the ventral stream
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A critique of pure learning and what artificial neural networks can learn from animal brains
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Machine behaviour
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Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
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Performance vs. competence in human–machine comparisons
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The Power and Limits of Deep Learning
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The Opacity of Mind: An Integrative Theory of Self-Knowledge
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The multiple realization book
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A competence framework for artificial intelligence research
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From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence
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Common Sense, Reasoning, and Rationality
inferredcites →https://doi.org/10.1093/bioinformatics/btz422openalex-snapshot
AlphaFold at CASP13
inferredcites →https://doi.org/10.1093/brain/123.7.1293openalex-snapshot
Cerebral specialization and interhemispheric communication: Does the corpus callosum enable the human condition?
inferredcites →https://doi.org/10.1093/oso/9780190052089.001.0001openalex-snapshot
Games
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On the lack of evidence that non-human animals possess anything remotely resembling a ‘theory of mind’
inferredcites →https://doi.org/10.1109/tevc.2019.2890858openalex-snapshot
One Pixel Attack for Fooling Deep Neural Networks
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1111/cogs.12148openalex-snapshot
Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition
inferredcites →https://doi.org/10.1111/j.0956-7976.2002..xopenalex-snapshot
Illusory Causation: Why It Occurs
inferredcites →https://doi.org/10.1111/phpr.12455openalex-snapshot
Rational Inference: The Lowest Bounds
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1126/science.7352271openalex-snapshot
Affective Discrimination of Stimuli That Cannot Be Recognized
inferredcites →https://doi.org/10.1126/science.aab3050openalex-snapshot
Human-level concept learning through probabilistic program induction
inferredcites →https://doi.org/10.1126/science.aar6404openalex-snapshot
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
inferredcites →https://doi.org/10.1145/3241036openalex-snapshot
The seven tools of causal inference, with reflections on machine learning
inferredcites →https://doi.org/10.1145/3306618openalex-snapshot
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
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Computer science as empirical inquiry
inferredcites →https://doi.org/10.1146/annurev-vision-091718-014951openalex-snapshot
Deep Learning: The Good, the Bad, and the Ugly
inferredcites →https://doi.org/10.1146/annurev.psych.58.110405.085555openalex-snapshot
Causal Cognition in Human and Nonhuman Animals: A Comparative, Critical Review
inferredcites →https://doi.org/10.1371/journal.pcbi.1003915openalex-snapshot
Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
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Proceedings 2019 Network and Distributed System Security Symposium
inferredcites →https://doi.org/10.1609/aimag.v38i3.2741openalex-snapshot
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
inferredcites →https://doi.org/10.2307/20159081openalex-snapshot
Heuristics and Biases: The Psychology of Intuitive Judgment
inferredcites →https://doi.org/10.2307/2184371openalex-snapshot
Psychologism and Behaviorism
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Human Inference: Strategies and Shortcomings of Social Judgment.
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The Modern Role of Morgan’s Canon in Comparative Psychology
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Science in the Age of Computer Simulation
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The Promise of Artificial Intelligence

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Deep Learning Discovery Algorithms in High-Energy Physics and the Conflict Between Model-Independence and Robustness
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Two Dimensions of Opacity and the Deep Learning Predicament
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Common Sense and the Limits of Inferential-Role Intuitive Theories in the Advent of AI
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Beyond representation: rethinking intelligence in the age of LLMs
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Human-AI Interaction, Moral Responsibility and Epistemic Credit
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Explainable AI lacks regulative reasons: why AI and human decision-making are not equally opaque
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The signature-testing approach to mapping biological and artificial intelligences
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General Discussion
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Philosophical Issues in Computational Cognitive Sciences
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Natural Curiosity
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Is superintelligence necessarily moral?
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From Deep Learning to Rational Machines
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Copyright Page
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Dedication
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Preface
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Note on Abbreviated Citations to Historical Works
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Moderate Empiricism and Machine Learning
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What Is Deep Learning, and How Should We Evaluate Its Potential?
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Perception
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Memory
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Imagination
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Attention
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Social Cognition
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Allure of Simplicity
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