Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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AI models often fail to identify ableism across cultures
The artificial intelligence models underlying popular chatbots and content moderation systems struggle to identify offensive, ableist social media posts in English – and perform even worse in Hindi, new Cornell research finds.
Pain tolerance increases during social interaction in VR
Researchers in the Virtual Embodiment Lab found that engagement in social virtual reality, whether with loved ones or total strangers, enhances pain tolerance.
Faculty innovate with, and avoid, AI in the classroom
At the same time faculty are finding ways to use generative AI tools to help students learn, pen-and-paper assessments are returning to the classroom.
‘Bottling’ human intuition for AI-led materials discovery
A Cornell researcher and collaborators have developed a machine-learning model that encapsulates and quantifies the valuable intuition of human experts in the quest to discover new quantum materials.
Models feel hemmed in by AI
Using generative AI, fashion designers can use digital photos to adjust models’ features and even deploy fully digital avatars in place of humans. A team including an ILR School researcher has written a paper highlighting models’ challenges.
Cornell awarded NSF grant to build AI-ready living lab for agriculture
Cornell University has been awarded a portion of a $2 million planning initiative from the U.S. National Science Foundation to establish AI4Ag, a national testbed for artificial intelligence in agriculture.
AI can write your college essay, but it won’t sound like you
Students who plan to use ChatGPT to write their college admissions essays should think twice: Artificial intelligence tools write highly generic personal narratives, even when prompted to write from the perspective of someone with a certain race or gender.
Balancing the promise of health AI with its carbon costs
The health care industry is increasingly relying on AI – in responding to patient queries, for example – and a new Cornell study shows how decision-makers can use real-world data to build sustainability into new systems.