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Three reasons why you should attend the Assuring Autonomy International Programme's short course on the assurance of autonomous systems at the University of York:

  • it's the only one of its kind - dedicated to the safety assurance of autonomous systems, including those that use machine learning
  • you'll meet the experts writing leading guidance on safety assurance in York - bring your examples and challenges and discuss them in person
  • blended learning enables you to undertake the initial learning in your own time and then meet in York for three days of study.

Register by: 3 April 2023

Self-study starts: 17 April 2023

In-person learning: 25 to 27 April 2023

Cost: £1,790 (VAT exempt)

Book now

This link takes you to the University of York professional development and training page for Advanced Topics in Safety (the name of this CPD module). Scroll to the bottom of that page to book your place.

Completing the Advanced Topics in Safety CPD module and learning in detail about SACE/AMLAS has proved incredibly useful in developing systems that aren't completely managed by more conventional system safety approaches. Working in a modern R&D environment I've found the content of the course essential, especially for identifying the limits of more classical safety approaches, as well as taking a view of possible future safety challenges, their causes and possible ways to mitigate them.

Phillip Mulvana, Lead Technologist Safety Engineering

The module next runs in April 2023. It will be taught as a mixture of self-study material and three days of class-based work. Extra material is provided for additional self-study after the days in York.

Pre-attendance self-study

Self-study starts on 17 April. The material gives an overview of the current state-of-the-art in system safety to ground our later discussions.

It then considers technical background, such as sensor suites, perception and decision-making. It will also introduce a discussion on the societal and ethical implications of Robotics and Autonomous Systems (RAS).

In-person lectures

In-person lectures and sessions take place at the University of York from 25 to 27 April. The timetable is split into six sessions:

  1. Session 1: Introduction to safety and security assurance challenges posed by RAS
  2. Session 2: RAS software and verification of machine learning (ML)
  3. Session 3: Safety assurance of RAS in complex environments
  4. Session 4: Assurance of ML in autonomous systems
  5. Session 5: Human factors for RAS
  6. Session 6: Risk acceptance and conclusions

Post attendance self-study and assessment

There is lots of ongoing work in this area so we will direct you to further reading materials to consolidate your understanding of where this is leading. Further self-study lecture material will be made available and assessment is also available.

Book your place

This link takes you to the University of York professional development and training page for Advanced Topics in Safety (the name of this CPD module). Scroll to the bottom of that page to book your place.