# A method for ethical AI in Defence: A case study on developing trustworthy autonomous systems

arXiv: https://arxiv.org/abs/2206.10769 · HTML: https://mlsanity.com/paper/2206.10769/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 19 references that are in the map.
- First posted on arXiv 21 Jun 2022.

## Builds on (most cited first, 1 of 1)

- [Explanations in Autonomous Driving: A Survey](https://mlsanity.com/paper/2103.05154/) (2021)

## Built on by (most cited first, 2 of 2)

- [Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models](https://mlsanity.com/paper/2410.21129/) (2024)
- [Meaningful human command: Advance control directives as a method to enable moral and legal responsibility for autonomous weapons systems](https://mlsanity.com/paper/2303.06813/) (2023)

## Abstract (arXiv)

What does it mean to be responsible and responsive when developing and deploying trusted autonomous systems in Defence? In this short reflective article, we describe a case study of building a trusted autonomous system - Athena AI - within an industry-led, government-funded project with diverse collaborators and stakeholders. Using this case study, we draw out lessons on the value and impact of embedding responsible research and innovation-aligned, ethics-by-design approaches and principles throughout the development of technology at high translation readiness levels.