As mathematicians work through challenges related to AI, Cornell math faculty members are leading the field with work integrating AI into math and mathematics into AI.
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Weill Cornell Medicine Launches Dean’s AI to Advance Medicine Initiative Fellowship Program
The Dean’s AI to Advance Medicine Initiative Fellowship Program, or FAIMI, supports early-career faculty pursuing innovative artificial intelligence projects with the potential to advance biomedical research, clinical care, healthcare delivery, and biomedical education.
AI Safety for Kids: Lessons From Efforts to Address Social Media Addiction
Sarah Kreps, professor and director of Cornell University’s Tech Policy Institute, discusses the complexities of regulating artificial intelligence for minors compared to social media.
AI, data science leaders join Cornell’s Radical Collaboration initiative
Cornell is expanding its expertise in artificial intelligence and data science thanks to the arrival of new faculty, with support from the Radical Collaboration initiative, building a research community that reaches across disciplines.
AI-enhanced petitions on Change.org: more text, less success
Cornell researchers’ analysis of 1.5 million petitions on Change.org showed that AI writing assistance altered the wording of petitions, increasing their homogeneity and length, but did not improve petition outcomes.
Study finds trust is the missing ingredient for AI-driven food safety
New research has found that although food companies recognized clear benefits to pooling confidential food safety, concerns about trust, competition and shared standards continue to stand in the way.
Future of the American University report charts a ‘bold path forward’
After a year of engaging with university stakeholders and at a critical moment for higher education in the United States, a faculty-led committee has offered its vision for fortifying Cornell’s long-term future in the face of unprecedented challenges.
Will AI models achieve the ability to improve autonomously? Leading labs say the scenario is near
John Thickstun, an assistant professor of computer science, provides perspective on the ongoing practice of using previous AI generations to develop new models.