Latest Articles for Ethics In Technology

Examining how LLMs ensure safety and the impact of jailbreaks.

A toolkit for assessing the safety of advanced language models.

Investigating vulnerabilities in audio watermarking methods against real-world threats.

A look into the challenges and improvements in AI model performance.

A new framework tackles fairness conflicts in machine learning effectively.

A fresh approach improves detection of fake images created by AI.

A comprehensive dataset merging images and text to aid machine learning.

A new perspective on improving image creation through score distillation sampling.

A new benchmark for evaluating AI-generated text detection methods.

Evaluating risks of biased outcomes in robots using language models.

A look at ensuring AI technologies are reliable and trustworthy.

Exploring the impact of AI on legal reasoning and decision-making.

This method effectively removes copyrighted material while maintaining model performance.

A new method improves clarity in AI model decision-making.

Examining biases in language models used for mental health analysis and solutions.

GLM-4 models show improved capabilities in language understanding and generation.

A study on how language models generate persuasive rationales for argument evaluation.

A new system enhances accuracy and reliability in text generation from RALMs.

This study assesses the honesty of LLMs in three key areas.

A new dataset aims to improve the safety of text-to-image models against harmful content.

Examining how LLMs exhibit personality traits through new testing methods.

A new method to improve AI alignment with human values using corrupted feedback.

A new framework improves language models' representation of diverse human values.

A study on PlagBench and its role in detecting plagiarism in LLM outputs.

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.