[HTML][HTML] Digital governance: A conceptual framework and research agenda

M Hanisch, CM Goldsby, NE Fabian… - Journal of Business …, 2023 - Elsevier
The rapid expansion of digital technologies has paved the way for new forms of organizing,
facilitated by increased data and knowledge exchange between individuals and …

Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities

S O'Connor, H Liu - AI & SOCIETY, 2024 - Springer
Across the world, artificial intelligence (AI) technologies are being more widely employed in
public sector decision-making and processes as a supposedly neutral and an efficient …

Datacomp: In search of the next generation of multimodal datasets

SY Gadre, G Ilharco, A Fang… - Advances in …, 2024 - proceedings.neurips.cc
Multimodal datasets are a critical component in recent breakthroughs such as CLIP, Stable
Diffusion and GPT-4, yet their design does not receive the same research attention as model …

Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information

SB Johnson, AJ King, EL Warner, S Aneja… - JNCI cancer …, 2023 - academic.oup.com
Data about the quality of cancer information that chatbots and other artificial intelligence
systems provide are limited. Here, we evaluate the accuracy of cancer information on …

Stable bias: Analyzing societal representations in diffusion models

AS Luccioni, C Akiki, M Mitchell, Y Jernite - ar** the individual, social and biospheric impacts of Foundation Models
A Domínguez Hernández, S Krishna… - The 2024 ACM …, 2024 - dl.acm.org
Responding to the rapid roll-out and large-scale commercialization of foundation models,
large language models, and generative AI, an emerging body of work is shedding light on …

Benchmark evaluations, applications, and challenges of large vision language models: A survey

Z Li, X Wu, H Du, H Nghiem, G Shi - arxiv preprint arxiv:2501.02189, 2025 - arxiv.org
Multimodal Vision Language Models (VLMs) have emerged as a transformative technology
at the intersection of computer vision and natural language processing, enabling machines …

The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models

A Birhane, S Dehdashtian, V Prabhu… - The 2024 ACM …, 2024 - dl.acm.org
'Scale the model, scale the data, scale the GPU farms' is the reigning sentiment in the world
of generative AI today. While model scaling has been extensively studied, data scaling and …

Ethical considerations for responsible data curation

J Andrews, D Zhao, W Thong… - Advances in …, 2024 - proceedings.neurips.cc
Human-centric computer vision (HCCV) data curation practices often neglect privacy and
bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed …