In the new paper, “Toward a Science of Human–AI Teaming for Decision Making: A Complementarity Framework,” researchers present a framework for understanding and designing human–AI teams for decision making. Drawing on collective intelligence research, the framework focuses on reasoning, memory, and attention as core processes that can be distributed across people and AI systems. Published in PNAS Nexus, the work offers guidance for researchers, practitioners, and policymakers seeking to build human–AI teams that are effective, accountable, and aligned with human values.