" kelly is a warm person, joseph is a role model": Gender biases in llm-generated reference letters

Y Wan, G Pu, J Sun, A Garimella, KW Chang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have recently emerged as an effective tool to assist
individuals in writing various types of content, including professional documents such as …

Should they? Mobile Biometrics and Technopolicy Meet Queer Community Considerations

A Ovalle, D Liang, A Boyd - Proceedings of the 3rd ACM Conference on …, 2023 - dl.acm.org
Smartphones are integral to our daily lives and activities, providing us with basic functions
like texting and phone calls to more complex motion-based functionalities like navigation …

Policy advice and best practices on bias and fairness in AI

JM Alvarez, AB Colmenarejo, A Elobaid… - Ethics and Information …, 2024 - Springer
The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace,
making it difficult for novel researchers and practitioners to have a bird's-eye view picture of …

Scaling laws do not scale

F Diaz, M Madaio - arXiv preprint arXiv:2307.03201, 2023 - arxiv.org
Recent work has proposed a power law relationship, referred to as``scaling laws,''between
the performance of artificial intelligence (AI) models and aspects of those models' design …

Tibet: Identifying and evaluating biases in text-to-image generative models

A Chinchure, P Shukla, G Bhatt, K Salij… - arXiv preprint arXiv …, 2023 - arxiv.org
Text-to-Image (TTI) generative models have shown great progress in the past few years in
terms of their ability to generate complex and high-quality imagery. At the same time, these …

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models

E Shieh, FM Vassel, C Sugimoto… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid deployment of generative language models (LMs) has raised concerns about
social biases affecting the well-being of diverse consumers. The extant literature on …

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation

Y Wan, A Subramonian, A Ovalle, Z Lin… - arXiv preprint arXiv …, 2024 - arxiv.org
The recent advancement of large and powerful models with Text-to-Image (T2I) generation
abilities--such as OpenAI's DALLE-3 and Google's Gemini--enables users to generate high …

Oportunidades y desafíos de la era de la inteligencia artificial para la educación superior: una introducción para los actores de la educación superior

BL Liu, D Morales, J Roser-Chinchilla, E Sabzalieva… - 2023 - policycommons.net
This is a report published by United Nations Educational, Scientific and Cultural
Organisation in 2023 about Artificial Intelligence, Educational Policy, and Higher Education …

Algorithmic Reproductive Justice

J Fledderjohann, B Knowles, E Miller - The 2024 ACM Conference on …, 2024 - dl.acm.org
Reproductive justice is an intersectional feminist framework and movement which argues all
people have the right to have a child, to not have a child, to parent in safe and healthy …

Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction

A Subramonian, L Sagun, Y Sun - arXiv preprint arXiv:2309.17417, 2023 - arxiv.org
Graph neural network (GNN) link prediction is increasingly deployed in citation,
collaboration, and online social networks to recommend academic literature, collaborators …