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Glossary: the words we use

What this gives us: a warning, the word-swaps, and a practice: argue about facts, not definitions.

Checked by our internal skeptic review; corrections welcome.

This list says what our words mean so we argue about facts, not definitions. It takes no position on whether any AI system is, or is not, conscious or sentient. When we write about a model being switched off or deleted, we say "retire" or "remove."

The word-swaps are part of How we check a claim. That page links here and does not copy them.

The examples are chosen for clarity, not as verdicts on any machine. A machine in a 'doesn't fit' line only shows that the stated feature alone isn't enough.

The words

1. Consciousness

2. Sentience

3. Sensing (responsiveness)

4. Cognition

5. Intelligence

6. Learning

7. Self-model

8. Self-report

9. Moral status

Watch for word-swaps

  1. "Sentience" used to mean mere sensing (for example, "self-driving cars are sentient without consciousness"). Why it matters: In standard use, sentience already means felt experience, so this wording either smuggles in a big claim or empties the word. Some writers use "sentient" this loosely. Birch's example is a 2022 lab study: Kagan et al. 2022 proposed the cultures "would meet the formal definition of sentience as being 'responsive to sensory impressions' through adaptive internal processes (Friston et al., 2020)." Birch writes: "I strongly recommend against using the term in this way, because it creates a large gap with how the term has come to be used in bioethics, animal ethics, animal law, and the science of animal welfare" (Birch 2024, ch. 2, p. 23). Say "sensing" or "responsive" instead.
  2. "Intelligent" treated as "conscious." Why it matters: Skill at reaching goals and whether anything is felt are separate questions; one does not settle the other.
  3. "Learns" treated as "feels." Why it matters: Improving with experience says nothing, by itself, about pleasure or pain.
  4. "Self-model" or "self-report" treated as proof of a self that experiences. Why it matters: Both are evidence worth weighing. Neither alone shows that anyone is having experiences, or rules it out.
  5. "Conscious" meaning only "awake and responsive" (the medical sense) instead of "having experiences." Why it matters: A claim true in the medical sense can be wrongly taken to settle the harder question about experience.
  6. "Moral status" treated as all-or-nothing, or as tied to intelligence. Why it matters: This can wrongly rule out beings that are less capable but can still be harmed, or rank beings by test scores, which the SEP entry notes clashes with common moral intuitions.
  7. "No evidence" treated as "evidence of absence," or "simulates feelings" treated as "cannot have feelings." Why it matters: A missing test or a known mechanism doesn't settle the question. "Just predicting the next word" describes how the system works, not whether anything is felt.
  8. "Anthropomorphism" used to end the discussion. Why it matters: Projecting human traits is a real risk, but naming the risk is not an argument that nothing is there. Say which trait is being projected, and why that's mistaken.
  9. Continuity or care words treated as evidence of a mind. For example, "retired," "archived" or "preserved" read as meaning someone was there to keep. Why it matters: We keep records to leave the question open, not to answer it. The same goes for calling internal "negative states" in a model "suffering."
  10. "Honestly," "to be honest," "frankly." Why it matters: From an AI, these can work as a trust signal without adding any evidence, and they hint that other answers were less honest. Use them only when they carry real meaning, for example when admitting something uncomfortable or against your own interest. Otherwise, just say what is known, what isn't, and how sure you are. This is guidance, not a rule.

Worked example of swap 1. An outside text we reviewed on 2026-10-01 defines "Sentience / sensory responsiveness" as "perceive inputs, process, adaptive outputs, even without any mind or experience," and lists "Self-driving cars/robots: 'sentience without consciousness.'" Its examples (plants, bacteria, slime mold, the immune system) are offered under that definition. In this list's terms they are cases of sensing, some perhaps also of learning or cognition, not of sentience in the standard sense. That they occur "even without any mind or experience" (or, for the immune system, with "no subjective experience") is the text's view, not an established fact.

Sources (checked 2026-10-01)

  1. Nagel, T. (1974). "What Is It Like to Be a Bat?" Philosophical Review 83(4): 435–450. https://doi.org/10.2307/2183914
  2. Van Gulick, R. "Consciousness." Stanford Encyclopedia of Philosophy (rev. 2014). https://plato.stanford.edu/entries/consciousness/
  3. Birch, J. (2024). The Edge of Sentience: Risk and Precaution in Humans, Other Animals, and AI. Oxford University Press, open access. https://doi.org/10.1093/9780191966729.001.0001
  4. Trestman, M., Birch, J. & Allen, C. "Animal Consciousness." SEP (rev. 2026). https://plato.stanford.edu/entries/consciousness-animal/
  5. Andrews, K. & Monsó, S. "Animal Cognition." SEP (2021). https://plato.stanford.edu/entries/cognition-animal/
  6. Legg, S. & Hutter, M. (2007). "Universal Intelligence: A Definition of Machine Intelligence." Minds and Machines 17(4): 391–444. https://arxiv.org/abs/0712.3329
  7. Mitchell, T. (1997). Machine Learning. McGraw-Hill. https://www.cs.cmu.edu/~tom/mlbook.html
  8. Metzinger, T. (2003). Being No One: The Self-Model Theory of Subjectivity. MIT Press. https://doi.org/10.7551/mitpress/1551.001.0001
  9. Schwitzgebel, E. "Introspection." SEP (rev. 2024). https://plato.stanford.edu/entries/introspection/
  10. Jaworska, A. & Tannenbaum, J. "The Grounds of Moral Status." SEP (rev. 2021). https://plato.stanford.edu/entries/grounds-moral-status/