# Inclusive Ethical Design for Recommender Systems

arXiv: https://arxiv.org/abs/2209.13021 · HTML: https://mlsanity.com/paper/2209.13021/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 24 references that are in the map.
- First posted on arXiv 13 Sep 2022.

## Builds on (most cited first, 5 of 5)

- [Estimating and Penalizing Induced Preference Shifts in Recommender Systems](https://mlsanity.com/paper/2204.11966/) (2022)
- [User Tampering in Reinforcement Learning Recommender Systems](https://mlsanity.com/paper/2109.04083/) (2021)
- [Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI](https://mlsanity.com/paper/2203.10525/) (2022)
- [The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains](https://mlsanity.com/paper/2006.07211/) (2020)
- [From Parental Control to Joint Family Oversight: Can Parents and Teens Manage Mobile Online Safety and Privacy as Equals?](https://mlsanity.com/paper/2204.07749/) (2022)

## Abstract (arXiv)

Recommender systems are becoming increasingly central as mediators of information with the potential to profoundly influence societal opinion. While approaches are being developed to ensure these systems are designed in a responsible way, adolescents in particular, represent a potentially vulnerable user group requiring explicit consideration. This is especially important given the nature of their access and use of recommender systems but also their role as providers of content. This paper proposes core principles for the ethical design of recommender systems and evaluates whether current approaches to ensuring adherence to these principles are sufficiently inclusive of the particular needs and potential vulnerabilities of adolescent users.