Learn. Build. Critique.
Outreach to newsrooms. Public-facing tutorials. Research and experimentation. Explorations of AI’s ability to disrupt the news ecosystem, and to enhance or diminish audience trust. Training students and mid-career journalists on how to use AI ethically and responsibly. Building new tools to augment reporting and scholarship. Collaborating with other major players in AI, including departments across Columbia University.
Training
Columbia Journalism School is pioneering AI's integration into journalism through hands-on learning, in-depth research and industry collaboration.
By prioritizing ethics, transparency and trust, CJS equips journalists to responsibly navigate this new landscape. From AI-powered investigative tools to innovative storytelling, this initiative emphasizes practical education that empowers journalists to leverage technology while safeguarding integrity.
CJS fosters an environment where students and professionals collaborate on AI-driven projects to reshape how news is produced and consumed, focusing on accessibility, sustainability and reporting rigor. Moving to fulfill that vision, the School is producing thoughtful scholarship, timely journalism and practical workshops to help students and news professionals adapt to the rapidly changing technological environment.
Research and Tools
Dean Jelani Cobb on how AI should reshape pedagogy, curriculum design and the intellectual development of students across disciplines.
Ethics and Standards
The Craig Newmark Center for Journalism Ethics and Security is exploring the ethical questions that arise with the growing use of AI in newsrooms and its rapid spread throughout society. The school’s required ethics course also includes the complex issues that arise from AI.
Journalism in the 21st century involves finding, collecting and analyzing data for storytelling, presentation and investigative reporting. The Master of Science in Data Journalism offers students interested in advanced skills an opportunity to tackle complex information, uncover hidden narratives and deliver impactful stories across digital platforms.
Through the “Platforms and Publishers” project, the Tow Center for Digital Journalism is conducting an ongoing, multi-year study into the relationship between large-scale technology companies and journalism, trackingthe role of AI companies and their growing influence in the news industry. Tow is also the home of the School's Computer Science + Journalism Dual Masters degree program.
Meet the Faculty
John S. and James L. Knight Professor of Professional Practice in Data Journalism
Director, MS in Data Journalism Program
David and Helen Gurley Brown Professor of Journalism and Innovation
Director, David and Helen Gurley Brown Institute for Media Innovation
Leonard Tow Professor of Professional Practice
Director, Tow Center for Digital Journalism
Associate Professor of Professional Practice
Deputy Director, Tow Center for Digital Journalism
CJS AI News
Columbia Journalism School and Institute of Global Politics Convene Global Leaders on AI and the Future of Information
Columbia thought leader panel explores how artificial intelligence is reshaping power, accountability and the role of journalism in a rapidly evolving media landscape.
The Brown Institute Announces Its 2025-2026 Magic Grant Recipients
Each year, the Brown Institute supports tech and journalism projects through Magic Grants.
Columbia Journalism Review Launches New Campaign That Outsmarts AI With AI
New PSAi campaign uses AI to teach users how to spot fake images and fight misinformation.