Skip to main content
King Abdullah University of Science and Technology
King Abdullah University of Science and Technology
KAUST

Main navigation

  • Home

trustworthy machine learning

What Survives When Code Doesn’t?

Dr. Laurent Bindschaedler, Research Group Leader, Max Planck Institute for Software Systems (MPI-SWS)

May 4, 12:00 - 13:00

B9 R2325

Trustworthy AI trustworthy machine learning coding AI axplainable AI software development

This talk explores how AI-driven code generation shifts the role of software from a durable artifact to a disposable implementation and argues for a new computational model for agentic software that formalizes the fundamental guarantees of intent, state, composition, and effect into explicit, enforceable contracts.

Yulian Wu

Ph.D. Student, Computer Science

machine learning privacy Trustworthy AI decision making decision sciences privacy-preserving AI trustworthy machine learning Robustness Reinforcement Learning quantum machine learning bioinformatics direct preference optimization

Yulian Wu is a Ph.D. candidate under the supervision of Professor Francesco Orabona at King Abdullah University of Science and Technology (KAUST).

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice