Assessing Trustworthiness of Autonomous Systems
This addresses the need for objective metrics to ensure safety and reliability in autonomous systems, but it is incremental as it builds on existing literature and standards.
The paper tackles the problem of assessing trustworthiness in autonomous systems by examining the term's components and reviewing standards, resulting in an outline of a trustworthiness assessment framework.
As Autonomous Systems (AS) become more ubiquitous in society, more responsible for our safety and our interaction with them more frequent, it is essential that they are trustworthy. Assessing the trustworthiness of AS is a mandatory challenge for the verification and development community. This will require appropriate standards and suitable metrics that may serve to objectively and comparatively judge trustworthiness of AS across the broad range of current and future applications. The meta-expression `trustworthiness' is examined in the context of AS capturing the relevant qualities that comprise this term in the literature. Recent developments in standards and frameworks that support assurance of autonomous systems are reviewed. A list of key challenges are identified for the community and we present an outline of a process that can be used as a trustworthiness assessment framework for AS.