# A Structured Approach to Trustworthy Autonomous/Cognitive Systems

arXiv: https://arxiv.org/abs/2002.08210 · HTML: https://mlsanity.com/paper/2002.08210/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Feb 2020.

## Built on by (most cited first, 1 of 1)

- [A Survey on AI Assurance](https://mlsanity.com/paper/2111.07505/) (2021)

## Abstract (arXiv)

Autonomous systems with cognitive features are on their way into the market. Within complex environments, they promise to implement complex and goal oriented behavior even in a safety related context. This behavior is based on a certain level of situational awareness (perception) and advanced de-cision making (deliberation). These systems in many cases are driven by artificial intelligence (e.g. neural networks). The problem with such complex systems and with using AI technology is that there is no generally accepted approach to ensure trustworthiness. This paper presents a framework to exactly fill this gap. It proposes a reference lifecycle as a structured approach that is based on current safety standards and enhanced to meet the requirements of autonomous/cog-nitive systems and trustworthiness.