Problematic machine behavior: A systematic literature review of algorithm audits
J Bandy - Proceedings of the acm on human-computer …, 2021 - dl.acm.org
While algorithm audits are growing rapidly in commonality and public importance, relatively
little scholarly work has gone toward synthesizing prior work and strategizing future research …
little scholarly work has gone toward synthesizing prior work and strategizing future research …
What do we mean by “accessibility research”? A literature survey of accessibility papers in CHI and ASSETS from 1994 to 2019
Accessibility research has grown substantially in the past few decades, yet there has been
no literature review of the field. To understand current and historical trends, we created and …
no literature review of the field. To understand current and historical trends, we created and …
Stable bias: Analyzing societal representations in diffusion models
As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …
prevalent and seeing growing adoption as commercial services, characterizing the social …
Do datasets have politics? Disciplinary values in computer vision dataset development
Data is a crucial component of machine learning. The field is reliant on data to train, validate,
and test models. With increased technical capabilities, machine learning research has …
and test models. With increased technical capabilities, machine learning research has …
Disproportionate removals and differing content moderation experiences for conservative, transgender, and black social media users: Marginalization and moderation …
Social media sites use content moderation to attempt to cultivate safe spaces with accurate
information for their users. However, content moderation decisions may not be applied …
information for their users. However, content moderation decisions may not be applied …
Algorithmic folk theories and identity: How TikTok users co-produce Knowledge of identity and engage in algorithmic resistance
Algorithms in online platforms interact with users' identities in different ways. However, little
is known about how users understand the interplay between identity and algorithmic …
is known about how users understand the interplay between identity and algorithmic …
Feminist human-robot interaction: Disentangling power, principles and practice for better, more ethical HRI
Human-Robot Interaction (HRI) is inherently a human-centric field of technology. The role of
feminist theories in related fields (eg Human-Computer Interaction, Data Science) are taken …
feminist theories in related fields (eg Human-Computer Interaction, Data Science) are taken …
Exploring teachers' perceptions of artificial intelligence as a tool to support their practice in Estonian K-12 education
IA Chounta, E Bardone, A Raudsep… - International Journal of …, 2022 - Springer
In this article, we present a study on teachers' perceptions about Artificial Intelligence (AI) as
a tool to support teaching in Estonian K-12 education. Estonia is promoting technological …
a tool to support teaching in Estonian K-12 education. Estonia is promoting technological …
Trauma-informed computing: Towards safer technology experiences for all
Trauma is the physical, emotional, or psychological harm caused by deeply distressing
experiences. Research with communities that may experience high rates of trauma has …
experiences. Research with communities that may experience high rates of trauma has …
Algorithmic reparation
JL Davis, A Williams, MW Yang - Big Data & Society, 2021 - journals.sagepub.com
Machine learning algorithms pervade contemporary society. They are integral to social
institutions, inform processes of governance, and animate the mundane technologies of …
institutions, inform processes of governance, and animate the mundane technologies of …