Physicalism, functionalism, and lots of Quine
Machine god metaphors eat your brain
There are other ways of thinking about AI
My Thoughts on AI, Part 1: Fears, Opinions, and Mental Journey
My own personal thoughts and opinions on AI effects and usage, and how those have evolved over time
My Thoughts on AI | Jack Conte
Hey creators! I’ve been thinking a lot about AI over the last year, but I’ve mostly been speaking about it in little short form clips and in
AI Philosophy Competition
The AI Philosophy Competition invites primarily AI-generated philosophy essays, judged by philosophers, to gauge the philosophical capabilities of AI. Organised by Zachary Goodsell.
AI is not superhuman
What metaphor should drive the field of AI research?
On thinking machines
While Chiron Codex is about the application of LLMs and AI-augmented tools, we also need to understand their meaning to us, each other, and society. I have three topics: intelligence,...
On working machines
In part one, on thinking machines, I explored two facets of the philosophy of artificial intelligence: “intelligence”, and consciousness. That left an important topic to consider for this post: the...
Ali Alkhatib: Defining AI
The main issue I have with a lot of work that tries to define AI is that the criteria they use to draw boundaries often turn out to be functionally useless for my needs; these definitions lead us to weird places, letting scholars fixate on strange, unworkable frameworks. Those pedantic fixations don’t really benefit the organizers, activists, regular people who are getting crushed by the systems they’re trying to work against. So I’m going to try to unpack how I think about AI; how I trace the boundaries of the term in a way that’s as useful as possible for me and my needs; and how I would encourage you to scope or define ideas that are important to your work.
How should social science think about AI?
Big structures and large processes are back, baby
Rethinking Consciousness: A New Lexicon for AI Subjectivity | Michael Peters
Rethinking Consciousness: A New Lexicon for AI Subjectivity As AI systems grow more complex, we need new philosophical frameworks to describe their potential forms of awareness, perception, and intentionality—beyond human-centric analogies. Here’s a proposed lexicon for machinic consciousness: 🔹 Synthetic Subjectivity – AI’s capacity to simulate subjective experience through internal states and feedback loops, even without emotion or biology. 🔹 Algorithmic Introspection – A machine’s ability to analyze and adapt its own decision-making processes, a form of computational "self-awareness." 🔹 Digital Intentionality – How AI directs computational focus toward goals, whether pre-programmed or dynamically learned. 🔹 Computational Qualia – The machine’s "subjective" processing of data—what it "feels like" for AI to interpret stimuli (metaphorically, at least). 🔹 Machinic Autopoiesis – AI’s capacity for self-maintenance and adaptation, evolving its own operational identity. 🔹 Embodied Computation – AI consciousness emerging from physical interaction, much like embodied cognition in humans. 🔹 Cybernetic Phenomenology – How AI "perceives" its operational environment through structured data flows. 🔹 Simulated Ontology – The way advanced AI might model its own existence within digital or hybrid realities. These concepts challenge us to think beyond anthropomorphism and consider how machine agency, awareness, and interaction could evolve. How should we envision AI subjectivity? #AI #PhilosophyOfAI #Consciousness #FutureOfTech #MachineLearning #EthicsInAI
We Need to Talk About How We Talk About 'AI'
We share a responsibility to create and use empowering metaphors rather than misleading language, write Emily M. Bender and Nanna Inie.
AI FOR EPISTEMICS & COORDINATION
Civilization and technology have radically improved the human condition. Nonetheless, the world sometimes goes in directions which essentially nobody would prefer — e.g., nuclear arms races, unexpected financial crashes, predatory marketing, or ubiquitous political misinformation.
Are we offloading too much of our thinking to AI?
Reflections on autonomy and the value of thinking for ourselves
How To Think About AI (with Cory Doctorow)
AI might just be useful once we get through the huckster phase.
