Latest Articles for Data Ethics

Research focuses on improving safety in large language models through alignment techniques.

PointNCBW offers a reliable way to verify ownership of point cloud datasets.

A study on improving methods for assessing Membership Inference Attacks in language models.

Explore the need for an open feedback system to improve AI responses.

A new method to generate unbiased synthetic data for AI applications.

New methods enhance how language models forget unwanted knowledge.

Introducing alterfactual explanations to enhance AI model transparency.

Examining the treatment of data workers in AI and its impact on fairness.

Examining the importance of fairness in AI systems impacting lives.

A new approach to valuing data emphasizes its uniqueness for machine learning.

Insights and guidance for responsible dataset creation in machine learning.

Examining how social factors influence machine learning outcomes in healthcare.

Exploring current gaps in data transparency practices across AI systems.

Examining the impact of AI and clinical credit systems on patient privacy and rights.

Explores the rise and impact of Foundation Models in artificial intelligence.

A framework to identify and reduce biases in visual data for AI models.

A new framework aims to uncover biases in role-playing scenarios of language models.

A new method aims to reduce bias in language models' predictions.

Developers can improve app privacy by better analyzing user reviews using advanced techniques.

A new approach tackles biases in image-text models effectively.

A project aims to give artists control over their creative contributions to AI.

Discover how emotional voice data is transforming speaker verification technology.

Examining the true meaning behind Human-Centric NLP and its impact on everyday life.