# Virtue Ethics For Ethically Tunable Robotic Assistants

arXiv: https://arxiv.org/abs/2407.16361 · HTML: https://mlsanity.com/paper/2407.16361/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 9 of its 50 references that are in the map.
- First posted on arXiv 23 Jul 2024.

## Builds on (most cited first, 9 of 9)

- [Aligning AI With Shared Human Values](https://mlsanity.com/paper/2008.02275/) (2020)
- [Artificial Intelligence, Values and Alignment](https://mlsanity.com/paper/2001.09768/) (2020)
- [Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets](https://mlsanity.com/paper/2106.10328/) (2021)
- [A Voting-Based System for Ethical Decision Making](https://mlsanity.com/paper/1709.06692/) (2017)
- [Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks](https://mlsanity.com/paper/1902.09355/) (2019)
- [Landscape of Machine Implemented Ethics](https://mlsanity.com/paper/2009.00335/) (2020)
- [On Automating the Doctrine of Double Effect](https://mlsanity.com/paper/1703.08922/) (2017)
- [Toward the Engineering of Virtuous Machines](https://mlsanity.com/paper/1812.03868/) (2018)
- [Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AI](https://mlsanity.com/paper/2107.04022/) (2021)

## Abstract (arXiv)

The common consensus is that robots designed to work alongside or serve humans must adhere to the ethical standards of their operational environment. To achieve this, several methods based on established ethical theories have been suggested. Nonetheless, numerous empirical studies show that the ethical requirements of the real world are very diverse and can change rapidly from region to region. This eliminates the idea of a universal robot that can fit into any ethical context. However, creating customised robots for each deployment, using existing techniques is challenging. This paper presents a way to overcome this challenge by introducing a virtue ethics inspired computational method that enables character-based tuning of robots to accommodate the specific ethical needs of an environment. Using a simulated elder-care environment, we illustrate how tuning can be used to change the behaviour of a robot that interacts with an elderly resident in an ambient-assisted environment. Further, we assess the robot's responses by consulting ethicists to identify potential shortcomings.