Entrepreneurship
Ramona: Duke’s Family Biomedical Business
How a group of family and found family are quickly growing an advanced microscope startup company with the support of Duke and the Durham community.
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Research
How Engineers and Doctors Are Transforming Health Care
How do engineers work with clinicians and medical doctors to solve some of the most difficult problems facing medicine and healthcare today? The health issues...
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Research
Duke Researchers Join $30M Project to Uncover Hidden Layers in the Human Genome
Five-year, National Science Foundation “GENIE” Science and Technology Center will work to understand how the genome’s 3D structure helps cells establish their identities, remember past...
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Research
Duke’s Athena AI Institute Renewed Through 2031
The five-year renewal will focus on developing an AI-native edge stack that supports autonomous interaction among users, agents and the physical environment, integrated with national-priority...
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On Camera
![Every day, AI tools get more capable, and deployment is outpacing our understanding of what they get wrong. In Episode 1 of Pratt Blueprint, Duke Engineering Dean Jerry Lynch connects with three Duke University experts to break down where that gap is already showing up: in cybersecurity, in the everyday AI tools people use to get advice, and in health care.Charley Kneifel, AVP and Chief Technology Officer for Duke's Office of Information Technology, explains how generative AI has compressed the time between a discovered vulnerability and a working exploit from months to under a day, and breaks down how deepfaked identity documents have become sophisticated enough to fool routine identity verification processes across higher ed and beyond.Brinnae Bent, Executive in Residence at Duke's Pratt School of Engineering and Director of the Duke TRUST Lab, explains why the same human preference data that makes chatbots feel helpful also makes them sycophantic, and points to a widely reported case of a pregnant woman wrongfully arrested after a facial recognition misidentification, to show what happens when a black box system fails and no one can explain why.Jessilyn Dunn, Theodore Kennedy Associate Professor of Biomedical Engineering at Duke, walks through how bias baked into training data gets perpetuated in clinical AI tools, and why clinicians are more likely to double-check an alarming AI output than a reassuring one, even when the reassuring one is wrong. The overarching narrative is AI earns trust by appearing competent, and that appearance of competence is exactly when human verification tends to collapse. Dean Lynch closes the episode on why judgment, not just technical skill, has to be part of how the next generation of engineers is trained.Chapters:0:00 AI Risks in 20261:01 The judgement gap2:05 Cybersecurity4:05 Why AI is trained to please you7:02 Using AI in healthcare9:23 The takeawayLearn more about our guests: Charley Kneifel: [https://oit.duke.edu/profile/charley-kneifel/]Brinnae Bent: [https://scholars.duke.edu/person/brinnae.bent]Jessilyn Dunn: [https://scholars.duke.edu/person/Jessilyn.Dunn]Duke University | Pratt School of Engineering | https://pratt.duke.eduSubscribe for future episodes of Pratt Blueprint.](https://pratt.duke.edu/wp-content/plugins/youtube-feed-pro/img/placeholder.png)
In the Media
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Interesting Engineering
Quantum simulator captures a strange process that can break quark strings
Featuring Christopher Monroe
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WPTF
Miroslav Pajic Discusses New Army Research Center Focused on Countering Unmanned Aerial Attacks
Featuring Miroslav Pajic
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Upcoming Events
Duke Summit on AI for Health Innovation
Hosted by Duke AI Health and the Pratt School of Engineering and the Digital Health Innovation at Duke University, this event will bring together experts from healthcare, engineering, industry, and […]
Oct 8
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Oct 7
Wearable and Implantable Systems for Seamless High-Fidelity Diagnostics and Therapeutics
Abstract: Advances in materials and fabrication concepts for soft electronics coupled with miniaturization of wireless energy transfer enables the creation of high-performance electronic and optoelectronic systems with footprint and physical […]
2:00 pm
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Oct 7
Engineering Master's Career Drop-In Hours
Attend drop-in hours for quick advice and feedback that lasts 10-15 minutes. Career Drop-In Hours take place Tuesday-Friday while classes are in session.
3:00 pm
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Oct 7
Towards Personalizing Assistive Technology in the Real World
Abstract: Assistive technology offers promise to improve personal mobility for hundreds of millions of people. However, determining how to assist people to accommodate their unique needs across everyday mobility scenarios […]
3:45 pm-4:45 pm Teer 106