model that can produce the best or most optimized schedule for multiple objectives and constraints ,” says Carter . “ We provide decision-makers with a mathematically aided assessment that predicts schedules weeks in advance and it gives them back time in their day .”

Wider implications for the project involve the gaining of efficiencies across the board , from supply chains to maintenance . “ For instance , the work that we ’ re doing today could allow for advancements in scheduling for hospital staffing , shift workers , cargo and mail distribution , logistics operations , and even commercial airline crew scheduling or flight maintenance .”

Carter emphasizes the extent to which ethical considerations guide everything which is done with AI . “ Within all of our projects we are considering the implications of ethics .

EXECUTIVE PROFILE :

111 Title : Artificial Intelligence R & D Location : United States

Industry : Academia and Defense

Capt . Carter is the USAF-MIT Artificial Intelligence Accelerator ’ s lead for AI-Assisted Optimization of Training Schedules project . Carter has a B . S . in Computer Science from Hawaii Pacific University and an M . S . in Computer Engineering from Florida International University . Carter worked as a Cyber Operations Officer before being selected to the Education with Industry program where she was assigned to VMWare to use ML / AI to create content driven intelligence platforms . Her technical papers on ML / AI during this time helped land her a follow-on assignment to MIT to serve as part of the initial core of embedded Airmen for the AI Accelerator . technologymagazine . com