Supporting technology adopters to assure the safety of the autonomous systems they use

Some of the practices in York are the de facto standard e.g. Goal Structuring Notation (GSN) used in industry to construct safety arguments.

We engaged in a process of reviewing the draft AMLAS guidance through a series of workshops with two manufacturers who brought invaluable insights based on their hands-on use of the technology... Consequently, we published a review paper with a recommendation that AMLAS was fit for purpose as a safety assurance methodology when applied to healthcare ML technologies, although the development of healthcare specific supplementary guidance would benefit those implementing the methodology.

We might have got to a similar process to AMLAS based on existing literature relating to life cycle safety assurance, but we never had the dedicated resource to achieve it in the same timeframe. Where the credit is due to the AAIP is that they tell you ‘how to do’ not just ‘what you need to do.’ The expertise in York, the level of detail, and depth is incomparable to anywhere else. If the AAIP wasn’t there you would immediately miss the intelligence – the high-level interactions and intellectual conversations that can help you with your chain of thought and put you straight.