Program | AAAI Symposium

Program

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)	Session
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 Panelists: Yaser Khalighi, Founder & CEO, SceneBox Prof. Valia Kordoni, Humboldt-Universität Berlin Nick Nystrom, CTO, Peptilogics Moderator: 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	Break
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

Day 2: Tuesday March 22, 2022

(All times EDT)	Session
11:00 – 11:45 am	Keynote: AI Assurance & the Pitfalls of Human-Machine Teaming Andrea Brennan, VP of Design, IQT Labs
11:45 am – 12:45 pm	Case Studies & Papers: Human-Centered AI Deep System Instrumentation for Operationally Relevant, In Situ Human- AI Interaction Measurement Poore et al. (University of Maryland Applied Research Laboratory for Intelligence and Security) Lessons Learned in Human-Artificial Intelligence Teaming Business Processes Mendenhall et al. (Air Force Research Lab) Tools and Practices for Responsible AI Engineering Soklaski et al. (Massachusetts Institute of Technology Lincoln Laboratory)
12:45 – 1:30 pm	Lunch Break
1:30 – 2:10 pm	Case Studies & Papers: Human-Centered AI Exploring Opportunities in Usable Hazard Analysis Processes for AI Engineering Martelaro et al. (Carnegie Mellon University Software Engineering Institute and Carnegie Mellon University) Adaptive Autonomy as a Means for Implementing Shared Ethics in Human-AI Teams Hauptman et al. (Clemson)
2:10 – 2:40 pm	Breakout Sessions: Topics in Human-Centered AI Small group discussions on challenges to developing human-centered AI
2:40 – 2:50 pm	Break
2:50 – 3:30 pm	Keynote: An HPC perspective on Scalable AI Dr. Benjamin Parsons, Chief Technology Officer, DoD HPC Modernization Program
3:30 – 4:10 pm	Case Studies & Papers: Scalable AI Building Coherent Use into the DevOps Lifecycle for High-Stakes AI Rassman et al. (University of Maryland Applied Research Laboratory for Intelligence and Security) Experience with Using Synthetic Training Images for Wearable Cognitive Assistance Iyengar et al. (Carnegie Mellon University)
4:10 – 4:30 pm	Breakout Sessions: Topics in Scalable AI
4:30 pm	Closing Comments and Wrap-up