Build Trustworthy AI Generalists for Critical Applications at Scale

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What is Safe AI Lab?

The Safe AI Lab at CMU aims to design trustworthy physical AI Agents for high-state applications at scale by bridging fundamental machine learning theories and engineering technologies. We actively collaborate with leading industrial partners, including Google, Nvidia, Amazon, Apple, Microsoft, IBM, Ford, Uber, Bosch, Toyota, Rolls-Royce, and Boeing, as well as with healthcare providers like the Mayo Clinic, Highmark, and the Cleveland Clinic.

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Education

"By combining the fundamentals of AI with engineering domain knowledge, I'd like to cultivate a new generation of professionals leveraging AI to empower a broad range of industries."

My decade-long goal is to cultivate 10 future professors, train 100 industry professionals through sponsored projects, and educate 1,000 students in the classrooms with diverse backgrounds to lead the transformative change when applying intelligent autonomy to critical industries. I am 70% x 78% x 58.4% away from the goal. See our Alumni.

Media

"Our work has garnered attention from media outlets such as the New York Times, Forbes, TIME, Telegraph, and Wired."


Academic Talk

Trustworthy AI: develop reliable, explainable, verifiable, and good-for-all artificial intelligent learning methods.
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Lab Intro

We work on self-driving cars, sustainable grids, healthcare companion robots, manufacturing, and elder/child care.
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Media Mentions

Safe AI for safe streets for all

Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.

CMU's Safety21 leads inaugural Future of Transportation Summit

Transportation safety experts from CMU's Safety21 partnered with the DOT's University Transportation Centers to lead the inaugural Future of Transportation Summit in Washington D.C. from August 13th-15th. CMU faculty showcased their research and innovations with the goal of improving transportation safety.

New course harnesses AI to kindle creativity

New course, AI for Humanities, offers a unique perspective on how AI can revolutionize our perception and interaction with creative expressions.

Zhao weighs in on whether AI will be able to act without human oversight

MechE's Ding Zhao spoke with Forbes about the roles humans will play in overseeing AI output in many industries.

Zhao demonstrates LocoMan at landslide site

The dog-like robot, already known for helping around the house, can climb steep hillsides and use its paws to place sensors on difficult terrain, making landslide monitoring safer for humans.

Manipulation technology makes home-helper robot possible

New locomotion and manipulation technology from Ding Zhao's lab will enable four-legged robots to lend a hand in the not-so-distant future.

Zhao quoted on humanoid robots for retail

MechE's Ding Zhao was quoted in an article by PYMNTS about the most effective ways to automate industry.

Trustworthy artificial intelligence for the greater good

MechE's Ding Zhao trains students to enhance the affordability, reliability, and inclusivity of AI through the Trustworthy AI Autonomy course.

Zhao quoted on the applications of humanoid robots

MechE's Ding Zhao was quoted in an article in Popular Science about possible uses for humanoid robots and their capabilities.
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Members

Ding Zhao |   Linkedin    Website
Director

Education Accelerated Evaluation of Automated Vehicles , University of Michigan, advised by Huei Peng


Education Provost's Inclusive Teaching Fellows Award, IEEE George N. Saridis Best Transactions Paper Award, George Tallman Ladd Research Award, MIT Technology Review 35 under 35 Award in China, National Science Foundation CAREER Award, Ford University Collaboration Award, Qualcomm Innovation Award, Carnegie-Bosch Research Award, Struminger Teaching Award

Legacy of Graduated PhDs and Postdocs
Current and Former Members
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Contact us

email address
dingzhao@cmu.edu
address
B10 Scaife Hall
4805 Frew St
Pittsburgh, PA 15213
United States of America
Have questions?

Please email me to request an appointment.