Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.
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Help or hindrance? ER robots have potential to aid health care workers
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.
Yang Harnesses Generative AI for Teaching Across Disciplines
Dana Yang discusses Teaching Practical Statistical Skills
Virtual, mixed realities converge in new driving simulator
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.
Joneja Family Fellows boost data science research in medicine
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.
Ultrasensitive liquid biopsy tech spots cancer earlier than standard methods
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.
AI speech-to-text can hallucinate violent language
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.
Female AI ‘teammate’ engenders more participation from women
A new study suggests that the gender of an AI’s voice can positively tweak the dynamics of gender-imbalanced teams and could help inform the design of bots used for human-AI teamwork.