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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.
Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.
Amid the unpredictability and occasional chaos of emergency rooms, a robot has the potential to assist health care workers and support clinical teamwork, Cornell and Michigan State University researchers found. The research team’s robotic crash cart prototype highlights the potential for robots to assist health care workers in bedside patient care and offers designers a framework to develop and test robots in other unconventional areas.
Dana Yang discusses Teaching Practical Statistical Skills
Portobello, a new driving simulator developed by researchers at Cornell Tech, blends virtual and mixed realities, enabling both drivers and passengers to see virtual objects overlaid in the real world.
Data science research in medicine is getting a boost at Cornell through the Joneja Family Fellows, which will financially support assistant research professors, graduate students and postdoctoral students affiliated with the Engineering Innovations in Medicine initiative.
An artificial intelligence-powered method for detecting tumor DNA in blood has the potential to improve cancer care with the very early detection of recurrence and close monitoring of tumor response during therapy.
Speak a little too haltingly and with long pauses, and OpenAI’s speech-to-text transcriber might put harmful, violent words in your mouth, Cornell researchers have discovered.
