Latest Articles for Ethics In Technology

A study on fine-tuning computer control agents to enhance task performance.

Examining the role of randomization in creating fair machine learning systems.

Examining how LLMs transform data accessibility and interaction.

A new method enhances the alignment and safety of large language models.

A look into techniques for teaching agents to follow expert behavior effectively.

A new framework to improve AI agents' learning through modified Atari games.

A new method to align machine learning with human thinking using generative similarity.

Explore techniques and challenges in making AI models more understandable.

Systems must consider human values in decision-making for fair outcomes.

Research shows how demographics shape fairness views in AI content moderation.

This paper discusses methods to ensure fairness in AI through self-supervised learning techniques.

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.