19/10/2021
We the IEEE student branch, IIT Patna are celebrating IEEE day on 21st October. Prof. Mykel Kochenderfer, Stanford University, has agreed to spare time with us and deliver a talk on the topic/abstract shared below.
Researchers and students from across domains and departments are encouraged to attend the talk and to preferably take away some practical insights on real-world applications.
The topic for the talk is: Automated Decision Making for Safety-Critical Applications
Schedules:
Time: 6 PM
Date: October 21, 2021
All interested, kindly register in the link provided below.
Registration Link: https://forms.gle/vPmgpXcyWdmnisEa9
Bio: Mykel Kochenderfer is an Associate Professor of Aeronautics and Astronautics at Stanford University. He is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision-making systems. He is also a co-director of the Stanford Center for AI Safety. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. He is an author of the textbooks "Decision Making under Uncertainty: Theory and Application", "Algorithms for Optimization", and "Algorithms for Decision Making", all from MIT Press.
Abstract: Building robust decision-making systems is challenging, especially for safety critical systems such as unmanned aircraft and driverless cars. Decisions must be made based on imperfect information about the environment and with uncertainty about how the environment will evolve. In addition, these systems must carefully balance safety with other considerations, such as operational efficiency. Typically, the space of edge cases is vast, placing a large burden on human designers to anticipate problem scenarios and develop ways to resolve them. This talk discusses major challenges associated with ensuring computational tractability and establishing trust that our systems will behave correctly when deployed in the real world. We will outline some methodologies for addressing these challenges.