Guidance

The programme’s research aims to help those in industry to develop processes that prove their autonomous systems are safe, and to support regulators in setting consistent safety standards worldwide.

To do this, the work undertaken by the team in York, demonstrator project teams, and our collaborators across the globe is translated into practical guidance providing methods and processes to give confidence in the safety of the technology.

This guidance is freely accessible:

Contact us

Assuring Autonomy International Programme
assuring-autonomy@york.ac.uk
+44 (0)1904 325345
Department of Computer Science, Deramore Lane, University of York, York YO10 5GH

Body of Knowledge

Practical guidance on four key areas of assurance and regulation.

Assuring machine learning

Our methodology for the Assurance of Machine Learning for use in Autonomous Systems (AMLAS) helps to establish justified confidence in machine-learned components.

Research publications

A range of publications covering autonomous driving, ethics and robotics for inspection and manufacturing.

Contact us

Assuring Autonomy International Programme
assuring-autonomy@york.ac.uk
+44 (0)1904 325345
Department of Computer Science, Deramore Lane, University of York, York YO10 5GH