“Existential risk” – Why scientists are racing to define consciousness

2026-02-01 · Source: Artificial Intelligence News -- ScienceDaily · Field: Science & Research — Life Sciences & Biology, Social Sciences & Behavioral Studies, Research Methodology & Innovation · Depth: Intermediate, medium

Summary

A new review in *Frontiers in Science* highlights that rapid advancements in AI and neurotechnology are creating a dangerous gap in humanity's understanding of consciousness, posing significant ethical risks. Researchers, including lead author Prof Axel Cleeremans from Université Libre de Bruxelles, argue that developing scientific tests for awareness is an urgent priority. Such breakthroughs could revolutionize medicine, animal welfare, law, and AI development by enabling the detection of consciousness in machines, brain organoids, or patients. However, identifying consciousness in these contexts would also compel society to re-evaluate moral responsibilities, rights, and ethical boundaries, making the question of consciousness more critical and unsettling than ever.

Key takeaway

For AI scientists and ethicists developing advanced systems, understanding consciousness is paramount to prevent unforeseen ethical and existential risks. You should prioritize interdisciplinary research into consciousness, focusing on developing robust detection methods and engaging in adversarial collaborations to test theories. This proactive approach will help establish responsible guidelines for AI development and ensure societal preparedness for the implications of creating or encountering conscious entities.

Key insights

Understanding consciousness is critical for navigating the ethical implications of advancing AI and neurotechnology.

Principles

• Consciousness science is no longer purely philosophical.
• Progress in AI outpaces consciousness understanding.

Method

A coordinated, evidence-based approach to studying consciousness is needed, including adversarial collaborations to test competing theories and greater emphasis on phenomenology.

In practice

• Develop tests for consciousness in brain-injured patients.
• Assess awareness in fetuses, animals, and AI systems.

Topics

• Consciousness Science
• AI Ethics
• Neurotechnology
• Sentience Detection
• Brain Organoids

Best for: AI Scientist, AI Researcher, AI Ethicist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence News -- ScienceDaily.