Columbia AI News
Columbia AI News brings you the latest breakthroughs, research insights, and thought leadership from across the Columbia AI ecosystem. Explore how faculty, researchers, and students are shaping the future of artificial intelligence—advancing fields from healthcare and climate science to policy, ethics, and engineering. Stay informed on upcoming events, industry collaborations, and cutting-edge innovations driving AI forward.
Faculty Leverage Machine Learning for Early Detection of Mental Illness
Columbia researchers are using AI to spot early signs of schizophrenia in Medicaid data—pushing psychiatry toward faster, more accurate, and more equitable diagnosis.
Postdoc Shir Raviv studies how public trust in AI is shaped by experiences and perceptions of fairness, emphasizing the need for democratic, transparent governance of algorithmic decision-making.
Postdoc Moïse Blanchard explores the theoretical limits of machine learning, developing adaptable algorithms that can learn efficiently—even with limited data and memory. His work in statistical learning theory helps define when learning is possible and how machines can generalize across scenarios.
Columbia VP&S launches an AI initiative to advance patient care, research, and education through responsible AI integration in medicine.
Columbia researchers are using AI to spot early signs of schizophrenia in Medicaid data—pushing psychiatry toward faster, more accurate, and more equitable diagnosis.