Overview

  • Focus: The practical implementation of Safe & Trustworthy AI in real-world systems.
  • Scope: Covers AI in high-stakes applications like robotics, self-driving cars, and autonomous aircraft.
  • Key Themes:
  • Ensuring AI is reliable, robust, and predictable.
  • Solving challenges of real-time decision-making in unpredictable environments.
  • How AI perceives, decides, and learns safely.
  • Relevance: Essential for understanding the responsible deployment of next-generation autonomous technology.

Objectives of Event

To provide a comprehensive understanding of the practical implementation and critical challenges of Safe AI in real-world autonomous systems like robots, cars, and planes. Key Aims:

  • Explain core "Safety by Design" principles for autonomous systems.
  • Showcase real-world applications and technical challenges.
  • Highlight the societal impact and need for trustworthy AI.
  • Facilitate knowledge exchange with an international expert.

Convener Details

Co-ordinators:

Speaker Details:

  • Dr. IAN GRAY, Senior Lecturer, Computer Science, University of York, UK