Labor market policies intended to protect trade secrets and spur research and development may instead limit late-career wages and encourage firms to replace human labor with machines and other automation equipment, according to a study in the journal Labour Economics by researchers at Penn State, the Federal Reserve Bank of Cleveland and Colorado State University.

The widespread adoption of artificial intelligence (AI)—particularly in “hidden” everyday applications—is creating a new and distinct form of digital inequality.

New American Heart Association Presidential Advisory outlines contributors to and consequences of the current health care affordability crisis, proposes five guiding principles for action by lawmakers and policymakers.

A new scoping review from the University of Toronto reveals that caregivers of loved ones with ovarian cancer face significant emotional strain, heavy caregiving responsibilities, and limited support throughout the disease trajectory. The scoping review, published in PLOS One this week, analyzed 32 studies spanning 25 years and identified consistent challenges experienced by caregivers before, during, and after their loved one’s illness.

A new study suggests that some uses of tools— such as providing real-time feedback on collaboration via specific metrics — do not necessarily improve how teams work and in some cases may even make performance worse. The study, “Exploring the Effects of Real-Time Feedback on Collaborative Processes to Enhance Collective Intelligence in Teams,” by researchers at Carnegie Mellon University and the University of Dayton, appears in Collective Intelligence. The researchers tested whether showing teams real-time indicators of collaboration quality would help them work together more effectively on a dynamic online search-and-rescue task.

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.

New research from the University of Oxford suggests that losing a parent in adulthood can have lasting consequences for earnings, through deteriorating mental health and reduced access to family support, with earnings effects particularly marked for women and for mothers with young children.