# Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making

arXiv: https://arxiv.org/abs/2001.09766 · HTML: https://mlsanity.com/paper/2001.09766/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Jan 2020.

## Built on by (most cited first, 4 of 4)

- [Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics](https://mlsanity.com/paper/2506.12657/) (2025)
- [On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods](https://mlsanity.com/paper/2408.02862/) (2024)
- [Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the XAI Playbook](https://mlsanity.com/paper/2303.06223/) (2023)
- [Why should we ever automate moral decision making?](https://mlsanity.com/paper/2407.07671/) (2024)

## Abstract (arXiv)

Given AI's growing role in modeling and improving decision-making, how and when to present users with feedback is an urgent topic to address. We empirically examined the effect of feedback from false AI on moral decision-making about donor kidney allocation. We found some evidence that judgments about whether a patient should receive a kidney can be influenced by feedback about participants' own decision-making perceived to be given by AI, even if the feedback is entirely random. We also discovered different effects between assessments presented as being from human experts and assessments presented as being from AI.