arXiv Open Access 2023

The State of Algorithmic Fairness in Mobile Human-Computer Interaction

Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia +1 lainnya

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Abstrak

This paper explores the intersection of Artificial Intelligence and Machine Learning (AI/ML) fairness and mobile human-computer interaction (MobileHCI). Through a comprehensive analysis of MobileHCI proceedings published between 2017 and 2022, we first aim to understand the current state of algorithmic fairness in the community. By manually analyzing 90 papers, we found that only a small portion (5%) thereof adheres to modern fairness reporting, such as analyses conditioned on demographic breakdowns. At the same time, the overwhelming majority draws its findings from highly-educated, employed, and Western populations. We situate these findings within recent efforts to capture the current state of algorithmic fairness in mobile and wearable computing, and envision that our results will serve as an open invitation to the design and development of fairer ubiquitous technologies.

Topik & Kata Kunci

cs.HC

Penulis (6)

Sofia Yfantidou

Marios Constantinides

Dimitris Spathis

Athena Vakali

Daniele Quercia

Fahim Kawsar

Format Sitasi

APA MLA BibTeX

Yfantidou, S., Constantinides, M., Spathis, D., Vakali, A., Quercia, D., Kawsar, F. (2023). The State of Algorithmic Fairness in Mobile Human-Computer Interaction. https://arxiv.org/abs/2307.12075

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓