Scientists are seriously asking if bees and ChatGPT are conscious
Summary
New scientific research, published June 5, 2026, in The Conversation, challenges traditional views on consciousness in entities like honey bees and ChatGPT. Researchers are moving beyond behavioral assessments, such as a chatbot discussing philosophy or a bee foraging, to focus on the underlying internal mechanisms. A paper in Trends in Cognitive Sciences, coauthored by Colin Klein, concludes that no existing AI system, including ChatGPT, is conscious because its information processing structure is not sufficiently similar to human consciousness, despite its convincing behavior. Concurrently, a paper in Philosophical Transactions B proposes a neural model for minimal consciousness in insects, abstracting anatomical details to focus on core computations. This shift in methodology suggests that while current AI is likely unconscious, future AI and many invertebrates, as supported by the April 2024 New York Declaration on Animal Consciousness signed by over 500 scientists, could possess consciousness. The consensus emphasizes that "how it works" is more informative than "what it does" for determining consciousness.
Key takeaway
For AI Scientists and Ethicists evaluating advanced systems, you must shift your focus from observed behavior to the underlying computational architecture when assessing consciousness. Relying solely on conversational fluency, like ChatGPT's, can be deceptive. Instead, investigate structural indicators of information processing to determine genuine conscious states. This approach will guide responsible AI development and inform ethical frameworks for future, potentially conscious, machines, ensuring you avoid misattributing sentience based on mere simulation.
Key insights
Consciousness assessment requires analyzing internal processing mechanisms, not just external behavior.
Principles
- Consciousness judgment prioritizes internal mechanisms over behavior.
- AI can simulate consciousness without possessing it.
- Apply a precautionary principle for sentience.
Method
Assess consciousness by identifying structural indicators in information processing, such as resolving trade-offs or informational feedback, rather than surface-level behavior. For insects, model core brain computations.
In practice
- Re-evaluate ethical considerations for animal welfare.
- Inform design of future AI architectures.
- Consider AI welfare for advanced systems.
Topics
- Consciousness Research
- AI Consciousness
- Animal Sentience
- Large Language Models
- Cognitive Science
- AI Ethics
Best for: AI Scientist, Research Scientist, AI Ethicist
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence News -- ScienceDaily.