Cornell AI News

Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.

New algorithm picks fairer shortlist when applicants abound

New algorithm picks fairer shortlist when applicants abound

Cornell researchers developed a more equitable method for choosing top candidates from a large applicant pool in cases where insufficient information makes it hard to choose.

While humans still make many high-stakes decisions – like who should get a job, admission to college or a spot in a clinical trial – artificial intelligence (AI) models are increasingly used to narrow down the applicants into a manageable shortlist.

Rising star Ben Laufer: Improving accountability and trustworthiness in AI

Rising star Ben Laufer: Improving accountability and trustworthiness in AI

With artificial intelligence increasingly integrated into our daily lives, one of the most pressing concerns about this emerging technology is ensuring that the new innovations being developed consider their impact on individuals from different backgrounds and communities. The work of researchers like Cornell Tech PhD student Ben Laufer is critical for understanding the social and ethical implications of algorithmic decision-making.

How Angela Chen’s award winning designs integrate AI and responsible design

How Angela Chen’s award winning designs integrate AI and responsible design

Angela Chen M.S. ’22, who is an alumna of Cornell in Ithaca and Cornell Tech, pioneered and launched two AI healthcare design products during her time at Cornell Tech and brings to life the value of tech for good. Her AI designs, Calmspace and Argo Data Marketplace, recently won the 2024 A’ Design Award (Italy), 2024 MUSE Design Awards, 2024 New York Product Design Awards and London Design Awards for their ingenuity in helping address problems faced by those working in the healthcare industry.

Leading the charge in cybersecurity, trust, and safety

Leading the charge in cybersecurity, trust, and safety

In an era where digital threats are ever-evolving, the need for advanced education and research in cybersecurity, trust, and safety is paramount. Cornell Tech’s new Security, Trust, and Safety (SETS) Initiative, a cutting-edge program aimed at revolutionizing these fields, aims to address these challenges head-on. The director of the SETS program, Google alum Alexios Mantzarlis, brings a wealth of experience and a vision to this critical endeavor.

Thomas Ristenpart honored with “Test of Time” award

Thomas Ristenpart honored with “Test of Time” award

Thomas Ristenpart, a Professor at Cornell Tech and in the Computer Science Department at Cornell University, received the esteemed Test of Time Award at the 33rd USENIX Security Symposium. This accolade recognizes his co-authored 2014 paper, “Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing,” for its enduring impact on the field over the past 10 years.

Considering race in colon cancer prediction reduces disparities

Considering race in colon cancer prediction reduces disparities

Taking race into account when developing tools to predict a patient’s risk of colorectal cancer leads to more accurate predictions when compared with race-blind algorithms, researchers find.

While many medical researchers have argued that race should be removed as a factor from clinical algorithms that predict disease risks, a new study finds that, at least for colorectal cancer, including race can help correct a data issue – inaccurate recording of family history for Black patients.