The convergence of AI and consciousness science demands anticipatory, globally inclusive governance to promote ethical progress and address issues of neuroprivacy, bias, and equity.
Scientific interest in consciousness is rapidly accelerating, propelled by new neuroimaging, electrophysiological, and computational tools. As Cleeremans et al. note in their Frontiers in Science lead article (1), understanding consciousness is one of the most significant challenges of this century—and it is gaining increased urgency given recent advances in artificial intelligence (AI), including large language models (LLMs) and neuromorphic systems. AI technologies are reshaping how scientists study, interrogate, model, and conceptualize consciousness—but these methods are advancing faster than the ethical and regulatory frameworks needed to guide their use. Read More.
