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Polymath scholar Sendhil Mullainathan ’93, a behavioral economist who has combined computational and social sciences to produce pioneering work on health care, poverty and the criminal justice system, will deliver three public lectures at Cornell Nov. 11-13 for the Messenger Lectures series.
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.
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.
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, 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.
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.
The U.S. National Science Foundation (NSF) has awarded $12 million to a multi-institutional team of researchers that includes Cornell Tech Assistant Professor Udit Gupta for an initiative to establish new standards for carbon accounting in the computing industry.
In an examination of thousands of human-written college admissions essays and those generated by AI, researchers found that the AI-generated essays are most similar to essays authored by students who are males, with higher socioeconomic status and higher levels of social privilege.
