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 …

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 …

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 …

As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …

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 …

Accurate representation in media is known to improve the well-being of the people who
consume it. Generative image models trained on large web-crawled datasets such as LAION …

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 …

'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 …

Human-centric computer vision (HCCV) data curation practices often neglect privacy and
bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed …

The marginalization of autistic people in our society today is multi-faceted as it includes
violence that is both physical and ideological in nature. It is rooted in the dehumanization …