search menu icon-carat-right cmu-wordmark
Carnegie Mellon University | Software Engineering Institute

AI Engineering Symposium
AAAI Spring Symposium Series 2022

March 21-23 | Virtual Event


Our symposium will involve a mix of keynote and invited talks, breakout sessions, and panel discussions. We look forward to explorations of what AI engineering can and should entail. 

Day 1: Monday March 21, 2022

(All times EDT)

11:00 -
11:45 am

Keynote: What Does it Mean to Start a Discipline?
Dr. Matt Gaston, AI Division Director, CMU Software Engineering Institute

11:45 am -12:45 pm

Panel: Grand Challenges for the Field of AI Engineering

Yaser Khalighi, Founder & CEO, SceneBox
Prof. Valia Kordoni, Humboldt-Universität Berlin
Nick Nystrom, CTO, Peptilogics

Ganesh Mani, Adjunct Faculty, Carnegie Mellon University

12:45 –
1:30 pm

Lunch Break

1:30 –
2:15 pm

Keynote: Robust AI
D. Sculley, Director of Engineering / Google Brain, Google

2:15 –
3:40 pm

Case Studies & Papers: Robust & Secure AI

  • Evaluating Machine Learned Models for their Predictive Uncertainty in Context Heim et al. (Carnegie Mellon University Software Engineering Institute)
  • Modeling and Simulation for Operational Impact of Artificial Intelligence, Autonomy, and Augmentation Technologies Chang et al. (University of Maryland Applied Research Laboratory for Intelligence and Security)
  • Kernel Density Decision Trees Good et al. (Carnegie Mellon University)
  • Measuring AI Systems Beyond Accuracy Turri et al. (Carnegie Mellon University Software Engineering Institute)

3:40 –
3:50 pm


3:50 –
4:20 pm

Breakout Sessions: Topics in Robust & Secure AI
Small group discussions on challenges to developing robust and secure AI

4:20 –
4:30 pm

Closing Comments and Wrap-up