Latest Articles for Ethics In Technology

Fairpriori improves fairness testing in machine learning, focusing on intersectional bias.

A new method enhances how language models align with human values.

Addressing biases in face recognition through balanced training datasets.

This article examines how bias develops during the training of machine learning models.

Learn about the importance of safety measures in language models.

New efforts aim to support Yoruba dialects in language technology.

Researchers use propositional probes to enhance the reliability of language models.

Examining the need for fairness in AI and its impact on society.

Study evaluates methods to identify machine-generated text across various datasets.

This study explores the trade-off between diversity and factual accuracy in AI-generated images.

New benchmark assesses gender bias in AI models related to job roles.

A framework to reduce bias in AI language models while maintaining accuracy.

Ensure your research meets best practices in machine learning.

This article explores LLMs and their potential for deceptive behaviors in blackjack.

Robots are changing how we live and work in various settings.

A method to verify if LLM content is derived from copyrighted material.

New dataset enhances Arabic language model performance and fosters effective communication.

An overview of privacy risks and strategies for responsible AI use.

Techniques to reduce harmful language generation in AI models.

A new framework analyzes and reduces bias in vision-language models through targeted interventions.

A new framework tackles fairness in deep neural networks during model pruning.

Introducing TTPD to accurately identify false statements in large language models.

CaseGPT improves case retrieval and insights for professionals in healthcare and law.

A look into methods and challenges of generating counterfactuals in NLP.

A study on how VAEs perform across different demographic groups under attack.

Exploring how the Injectable Realignment Model improves understanding of language models.

This study examines watermarking methods for machine-generated text and their effectiveness against removal attacks.

Researchers aim to create sounds that match silent videos, improving viewer experiences.

Examining the role of dropout techniques in improving fairness in DNNs.

A look into the safety concerns of compressed language models.

Research explores generative AI to simulate internal mouth structures using facial movements.

Analyzing vulnerabilities in LLMs due to human preference data.

A new model detects social bias in text using synthetic data.

A new method for generating videos using both text and images.

SingFlex offers innovative solutions for creating diverse singing voices efficiently.

This paper challenges the belief in self-consistency among answers from language models.

A new framework controls in-context learning to prevent misuse in AI models.

This study examines how well models represent diverse cultures.

Researchers utilize 4DiM for creating new scene views from minimal input.

Examining the hurdles in web data collection for language models.