Proceedings of the AAAI Spring Symposium on AI Engineering, 2022
• Collection
Publisher
Software Engineering Institute
Abstract
In 2022, the SEI hosted the AAAI Spring Symposium on AI Engineering alongside co-organizers from Duke University, SRI International, and MIT Lincoln Lab. The symposium focused on human-centered, scalable, and robust and secure AI, with the goal of further evolving the state of the art; gathering lessons learned, best practices, workforce development needs; and fostering critical relationships. The papers in this collection were presented at the symposium.
Collection Items
Kernel Density Decision Trees
• Conference Paper
By Jack H. Good (Carnegie Mellon University, Robotics Institute, Kyle Miller (Carnegie Mellon University, Robotics Institute), Artur Dubrawski (Carnegie Mellon University, Robotics Institute)
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Adaptive Autonomy as a Means for Implementing Shared Ethics in Human-AI Teams
• Conference Paper
By Allyson I. Hauptman (Clemson University), Beau G. Schelble (Clemson University), Nathan J. McNeese (Clemson University)
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Experience with Using Synthetic Training Images for Wearable Cognitive Assistance
• Conference Paper
By Roger Iyengar (Carnegie Mellon University), Emily Zhang (Carnegie Mellon University), Mahadev Satyanarayanan (Carnegie Mellon University)
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Exploring Opportunities in Usable Hazard Analysis Processes for AI Engineering
• Conference Paper
By Nikolas Martelaro (Carnegie Mellon University), Carol J. Smith, Tamara Zilovic (Carnegie Mellon University)
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Lessons Learned in Human-Artificial Intelligence Teaming in Business Processes
• Conference Paper
By Michael J. Mendenhall (Air Force Research Laboratory), Gilbert L. Peterson (Air Force Research Laboratory), Alexander Graves (Air Force Research Laboratory), Jonathan W. Butler (Air Force Research Laboratory)
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Building Coherent Use into the DevOps Lifecycle for High-Stakes AI
• Conference Paper
By Kelsey Rassmann (University of Maryland at College Park), Jana Schwartz (University of Maryland), Julie Marble (University of Maryland), William Regli (University of Maryland at College Park)
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Measuring Beyond Accuracy
• Conference Paper
By Violet Turri, Rachel Dzombak, Eric Heim, Nathan M. VanHoudnos, Jay Palat, Anusha Sinha
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Deep System Instrumentation for In Situ Human-AI Interaction Measurement Within Complex Information Systems
• Conference Paper
By Joshua C. Poore (University of Maryland at College Park), Alex Veerasammy (University of Maryland at College Park), Amir Ghaemi (University of Maryland at College Park), Grant Tamrakar (University of Maryland at College Park), Kelsey Rassmann (University of Maryland at College Park), Craig Lawrence (University of Maryland at College Park)
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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