Latest Articles for Ethics In Technology

This article investigates vulnerabilities in speech models and ways to enhance their security.

A new approach enhances prompt diversity for safer language models.

This study examines how joint measures assess fairness and relevance in recommender systems.

A new method improves the quality of generated samples in diffusion models.

This article examines the role of community participation in developing AI systems.

A new method to evaluate bias in language models aims for fairer AI responses.

This study assesses the reliability of AI tools in legal practice.

New methods address originality concerns in AI-generated text.

Understanding AI decision-making is crucial for trust and ethical use.

Examining the risks and misuse of large language models in cybercrime.

CV-VAE improves video generation efficiency and quality in existing models.

A framework that detects anomalies in graphs while promoting fair treatment.

A framework to identify and reduce biases in training datasets.

Innovative approach to guide large language models using self-assessment.

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.