# Developing moral AI to support antimicrobial decision making

arXiv: https://arxiv.org/abs/2208.06327 · HTML: https://mlsanity.com/paper/2208.06327/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 27 references that are in the map.
- First posted on arXiv 12 Aug 2022.

## Builds on (most cited first, 3 of 3)

- [Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI](https://mlsanity.com/paper/1910.10045/) (2019)
- [Have a break from making decisions, have a MARS: The Multi-valued Action Reasoning System](https://mlsanity.com/paper/2109.03283/) (2021)
- [Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus](https://mlsanity.com/paper/2207.01431/) (2022)

## Built on by (most cited first, 3 of 3)

- [Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions](https://mlsanity.com/paper/2503.00940/) (2025)
- [If our aim is to build morality into an artificial agent, how might we begin to go about doing so?](https://mlsanity.com/paper/2310.08295/) (2023)
- [Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness](https://mlsanity.com/paper/2404.15369/) (2024)

## Abstract (arXiv)

Artificial intelligence (AI) assisting with antimicrobial prescribing raises significant moral questions. Utilising ethical frameworks alongside AI-driven systems, while considering infection specific complexities, can support moral decision making to tackle antimicrobial resistance.