# Algorithmic Transparency and Manipulation

arXiv: https://arxiv.org/abs/2311.13286 · HTML: https://mlsanity.com/paper/2311.13286/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 40 references that are in the map.
- First posted on arXiv 22 Nov 2023.

## Builds on (most cited first, 2 of 2)

- [Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR](https://mlsanity.com/paper/1711.00399/) (2017)
- [Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems](https://mlsanity.com/paper/2106.08258/) (2021)

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

- [Ethics of generative AI and manipulation: a design-oriented research agenda](https://mlsanity.com/paper/2503.04733/) (2025)

## Abstract (arXiv)

A series of recent papers raises worries about the manipulative potential of algorithmic transparency. But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the indifference view of manipulation, which explains better than the vulnerability view why algorithmic transparency has manipulative potential. The paper also raises pertinent research questions for future studies of manipulation in the context of algorithmic transparency.