Symposium Delivers New Perspectives on AI Engineering
May 23, 2022—Papers from the Artificial Intelligence (AI) Engineering Symposium are now available in the SEI Digital Library. The SEI hosted the March 21-23 virtual conference as part of the Association for the Advancement of Artificial Intelligence (AAAI) Spring Symposium Series.
The symposium focused on human-centered, scalable, and robust and secure AI, with the goal of further evolving the state of the art, fostering critical relationships, and gathering lessons learned, best practices, and workforce development needs. These papers were presented at the symposium:
- Adaptive Autonomy as a Means for Implementing Shared Ethics in Human-AI Teams
- Building Coherent Use into the DevOps Lifecycle for High-Stakes AI
- Deep System Instrumentation for In Situ Human-AI Interaction Measurement Within Complex Information Systems
- Experience with Using Synthetic Training Images for Wearable Cognitive Assistance
- Exploring Opportunities in Usable Hazard Analysis Processes for AI Engineering
- Kernel Density Decision Trees
- Lessons Learned in Human-Artificial Intelligence Teaming in Business Processes
- Measuring Beyond Accuracy
The AI Engineering Symposium drew participants from fields including robotics and computer science and from organizations including MIT Lincoln Laboratory, University of Maryland Applied Research Laboratory for Intelligence and Security (ARLIS), the Air Force Research Laboratory (AFRL), Clemson University, and Carnegie Mellon University. Across three days, participants presented research and engaged in discussion around human-centered, scalable, and robust and secure AI.