5 papers
Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study
Jhessica Silva, Diego A. B. Moreira, Gabriel O. dos Santos +4
In Artificial Intelligence (AI), language models have gained significant importance due to the widespread adoption of systems capable of simulating realistic conversations with hum…
CACARA: Cross-Modal Alignment Leveraging a Text-Centric Approach for Cost-Effective Multimodal and Multilingual Learning
Diego A. B. Moreira, Alef I. Ferreira, Jhessica Silva +10
As deep learning models evolve, new applications and challenges are rapidly emerging. Tasks that once relied on a single modality, such as text, images, or audio, are now enriched…
What do vision-language models see in the context? Investigating multimodal in-context learning
Gabriel O. dos Santos, Esther Colombini, Sandra Avila
In-context learning (ICL) enables Large Language Models (LLMs) to learn tasks from demonstration examples without parameter updates. Although it has been extensively studied in LLM…
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability
Carlos Caetano, Gabriel O. dos Santos, Caio Petrucci +6
Including children's images in datasets has raised ethical concerns, particularly regarding privacy, consent, data protection, and accountability. These datasets, often built by sc…
FairPIVARA: Reducing and Assessing Biases in CLIP-Based Multimodal Models
Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva +10
Despite significant advancements and pervasive use of vision-language models, a paucity of studies has addressed their ethical implications. These models typically require extensiv…