# Steering Responsible AI: A Case for Algorithmic Pluralism

arXiv: https://arxiv.org/abs/2311.12010 · HTML: https://mlsanity.com/paper/2311.12010/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Nov 2023.

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

- [Fairness for niche users and providers: algorithmic choice and profile portability](https://mlsanity.com/paper/2509.22660/) (2025)

## Abstract (arXiv)

In this paper, I examine questions surrounding AI neutrality through the prism of existing literature and scholarship about mediation and media pluralism. Such traditions, I argue, provide a valuable theoretical framework for how we should approach the (likely) impending era of AI mediation. In particular, I suggest examining further the notion of algorithmic pluralism. Contrasting this notion to the dominant idea of algorithmic transparency, I seek to describe what algorithmic pluralism may be, and present both its opportunities and challenges. Implemented thoughtfully and responsibly, I argue, Algorithmic or AI pluralism has the potential to sustain the diversity, multiplicity, and inclusiveness that are so vital to democracy.