The dominant account of social media's epistemic harms focuses on the spread of misinformation and the production of false beliefs at scale. This paper argues that the misinformation narrative, whate...

Color once taught us to see and value our planet. It now records how we are altering it.

His life as a writer and farmer was informed by a simple, clarifying idea: Forget tomorrow, and work toward what is good today.

Over the past week, cracks have emerged in the narrative around AI agents.

Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on univer...

Abstract. This book defends a new interpretation of Hegel’s idealism as oriented by a philosophical and logical concept of life, focusing on Hegel’s Scienc

COVID and smartphones alone cannot explain the decline. One thing we do know: both young and old need to retain the ability to gather and process information.

Cambridge Core - Philosophy of Science - AI and Consciousness

Anthony Kenny, professor emeritus of philosophy at the University of Oxford, well-known for his work on the philosophy of mind and history of philosophy, has died. Professor Kenny wrote widely on the ...

Sensory horizons and the functions of conscious vision - Volume 49

Philosophy and the Mind Sciences (PhiMiSci) focuses on the interface between philosophy of mind, psychology, and cognitive neuroscience. PhiMiSci is a peer-reviewed, not-for-profit open-access journal...

Abstract. This book provides a defense and an exploration of illusionism regarding phenomenal consciousness. Phenomenal consciousness supposedly encompasse

What do artificial intelligence (AI) systems “understand”? This question arises not only in assessing a system’s intelligence but also in evaluation practices to ensure the safe and responsible deployment of AI. Drawing on scholarship from philosophy and cognitive science, and informed by current practices in AI, we develop a framework for asking more precise questions and making more precise claims about machine understanding. We conceptualize understanding as a relation between a system (S) and a target of understanding (T), and we discuss how to specify the relation, the system, and the target, offering a landscape of options in each case. Our goal is not to defend a particular account of understanding, but to provide conceptual tools for those working to assess or advance machine understanding.

Approaches to the perception–cognition distinction tend toward two extremes. Many embrace a hard border, treating perception and cognition as mutually exclusive, non-overlapping categories. By contra....

Abstract. What enables me to know that others exist? Nathalie Duddington offers two distinctive, and underexplored, insights into the question. She focuses

Analysis of shark DNA has thrown a wrench into our understanding of these sharp-toothed predators March 25, 2026 Evolutionary biologists compared the DNA of different sharks to one another, and also t...

Philosophical Studies - The mainstream account of scientific understanding is explanationism. According to explanationism, scientific understanding is only achieved when a subject grasps a full or...