Publications

Alongside research papers, news articles, and blog posts we also write and contribute to a number of publications in the field of the safety of autonomous systems and artificial intelligence.

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

Assurance of Machine Learning for use in Autonomous Systems (AMLAS)

Our methodology for the Assurance of Machine Learning for use in Autonomous Systems (AMLAS), comprising a set of safety case patterns and a process for systematically integrating safety assurance into the development of ML components. 

Safety of highly automated driving

Exploring the challenges involved in assuring the safety of highly automated driving systems, we present a framework for structuring key elements of the argumentation strategy and review the state-of-the-art aligned to each of the elements of the framework.

Safer complex systems: An initial framework

A new report as part of the Royal Academy of Engineering Safer Complex Systems programme, which provides an initial framework for understanding and improving the safety of complex, interconnected systems in a rapidly changing and uncertain world.

Future Flight Initial Aviation Safety Framework

A report written in partnership with Egis for UK Research and Innovation. Part of this work applied an initial framework for the management of complex systems developed by Professor McDermid and colleagues to gain insight into the potential considerations for the use of complex systems in future flight. This analysis supported the development of the Future Flight Aviation Safety Framework.

Safety of manufacturing

This briefing paper was written for the Institute of Manufacturing on assuring the safety of autonomy in manufacturing. It provides insight into the safety assurance of autonomous systems in manufacturing. It is a supporting paper to OK Computer, a report commissioned by the Global Manufacturing and Industrialisation Summit (GMIS) exploring the safety and security implications of new technologies.

Assurance of inspection robotics

This report provides a single point of reference on the safety, regulatory and liability issues for operating inspection and maintenance robots in the European Union. It reviews legal frameworks for robotic infrastructure inspection and maintenance, along with relevant standards and best practices in development, verification and assurance. The report is based on work from the Robotics for Inspection and Maintenance (RIMA) project, which AAIP is part of. The RIMA project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824990.

UK-RAS Network white paper on ethical issues for RAS

The paper was co-authored by AAIP’s Professor McDermid and Zoe Porter, and three leading researchers from other UK institutions. It looks at the regulation of future robotics and AI systems from an ethical perspective and summarises other work in this area.

From Ethical Principles to the Ethically-Informed Engineering of Autonomous Systems: workshop report

This is a report from a workshop held in January 2021 to contribute to the maturing of, and critical reflection upon, practical guidance on how to address the concern of the ethical implications of autonomous systems.

Autonomous mining guidelines

Professor John McDermid assisted the writing of a section on software development, verification and validation in the GMG’s guideline for applying functional safety to autonomous systems in mining.

PAS 1882:2021 - Data for automated vehicles

In March 2020 the BSI published PAS 1882:2021, Data collection and management for automated vehicle trials for the purpose of incident investigation – Specification. This is the first consensus standard to enable data collection and management for automated vehicle trials to support incident investigation. AAIP’s Dr Mark Nicholson was part of the steering group which developed this standard.

2020 review

The 2020 year in review has details about our achievements during the third year of the Programme.

2019 review

The 2019 year in review has details about our achievements during year two of the Programme.

2018 review

The 2018 year in review gives a great introduction to the Programme, and all that was achieved in our first year.

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