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Speaking with newsroom leaders and policy experts to think through the rules for journalists—and how to make them work for your organization.
Behind the technology lies a vast physical infrastructure buildout that is reshaping capital markets and creating new vulnerabilities.
200 PhD students and researchers gathered on Columbia’s campus for two weeks of lectures at the Machine Learning Summer School.
Journalists using LLMs should know about the implications for their First Amendment protections.
At Columbia Business School, “Leadership Intelligence in the AI Era” teaches managers to carry human judgment into data-saturated organizations.
In the first edition of our new technology advice column, Ask Anika, we learn what happens when you feed unpublished work into an LLM.
AI offers major benefits for sustainability, including improving renewable energy systems and detecting environmental risks, but it also poses challenges such as resource consumption, inequality, and financial barriers. A Columbia-led report calls for coordinated global AI governance through scientific assessment, international safety standards, and a global framework for responsible AI development.
Deloitte Global CEO Joe Ucuzoglu shares how leaders can navigate technological disruption and the importance of leading with humility in an uncertain environment.
The AI boom and green transition require massive upfront investments but promise long-term economic and environmental benefits. Both risk job displacement and geopolitical tensions, making government policies essential to ensure a fair and sustainable transition.
At The MBA Transformed? AI and Beyond symposium, Columbia Business School convened top academics to explore 3 ways AI reshapes business education.
Real estate investment firms treat today's capital-raising challenge as a fundraising problem; at its core it is a differentiation problem. Capital takes longer to raise, more of it flows to the largest platforms, and many mid-sized managers sound alike to LPs: disciplined sourcing, operational value creation, data-driven underwriting, repeatable process. Nearly every firm is experimenting with AI. The question is whether they will use it for productivity alone, or to create proprietary insights that improve capital allocation.
Michael Harris, professor of mathematics at Columbia University, on why he co-authored a new declaration to preserve his discipline’s autonomy.