Understanding the biophysical basis of consciousness remains a major challenge for 21st-century science, made more pressing by advances in artificial intelligence. This article reviews recent developments in the scientific study of consciousness and considers future directions. It highlights novel approaches that may facilitate breakthroughs, including greater attention to theory development, adversarial collaborations, a focus on the phenomenal character of conscious experiences, and new methodologies and ecological experimental designs. The authors explore what success in consciousness science may look like, emphasizing clinical, ethical, societal, and scientific implications. Progress will reshape how we see ourselves and our relationship to AI and the natural world, usher in new medical interventions, and inform discussions on nonhuman animal welfare and ethical concerns around the beginning and end of human life.
New tests for consciousness (C-tests) are urgently needed to resolve uncertainty about when consciousness arises in human development, when it is lost due to neurological disorders and brain injury, and how it is distributed in nonhuman species. This need is amplified by recent developments in AI, neural organoids, and xenobot technology. Existing C-tests are of limited use, and no tests exist for many critical populations. The paper identifies challenges facing any attempt to develop C-tests, proposes a multidimensional classification of such tests, and identifies strategies for validating them.
Consciousness remains a hard problem: why does neural activity produce subjective experience, like the taste of chocolate or the feeling of a caress? Understanding this has medical and ethical implications, from assessing consciousness after brain injury to deciding whether nonhuman animals, fetuses, organoids, or advanced machines are conscious. A comprehensive theory is needed to determine which systems experience anything and to define ethical boundaries. An adversarial collaboration championing open science aims to test whether major current theories hold up.