Latest Articles for Ethics In Technology

This article examines how different contexts affect fairness testing results in AI.

Discover the latest developments in text-to-image models and their impact.

Introducing BMFT: a method to enhance fairness in machine learning without original training data.

SAGE-RT creates synthetic data to improve language model safety assessments.

A study on bias detection in NLP models and its implications.

This study analyzes personality traits of a language model across nine languages.

MIA-Tuner aims to address privacy issues in LLM training data.

This study examines how biases affect language model responses and proposes solutions.

Techniques to safeguard personal images from misuse by generative models.

Exploring how external inputs shape responses of large language models.

REFINE-LM uses reinforcement learning to mitigate bias in language models effectively.

A new method improves tracking of privacy leaks in large language models.

A critical look at AI's impact on science and understanding.

How labeling AI affects user acceptance and perception in vehicles.

Examining the impact of generative AI on knowledge and marginalized communities.

This article reviews gender bias evaluation in text-to-image generation.

A look at reducing bias in AI-generated images.

An overview of advancements in speaker recognition through the VoxCeleb Challenge.

Discover how bias in ML affects public health outcomes and fairness.

Exploring new methods for fair decision-making in machine learning systems.

Examining biases in outlier detection models to promote fairness.

Combining AI and human annotations improves data accuracy and efficiency in research.

ToxDet proposes a new method to identify harmful outputs in language models.

Examining how AUPs shape the foundation model landscape.

Innovative methods are being developed to detect and combat DeepFakes effectively.

Introducing Fair Best Arm Identification with fairness constraints in decision-making.

Exploring blendfake data's effectiveness in deepfake detection methods.

How AI can improve rather than replace software engineering.

This article examines how combining real and synthetic images boosts face recognition accuracy and fairness.

This study assesses ChatGPT's ability to simulate demographic and attitudinal data.

A resource for studying the impact and trends of political deepfakes.

This article discusses methods to reduce bias in text safety classifiers using ensemble models.

A new method aims to reduce bias in machine learning models for better fairness.

This study analyzes the fairness of diffusion-based recommendation methods compared to traditional models.

This article discusses constrained diffusion models and their role in reducing bias.

A new method for predicting personality traits from online posts using filtered data.

A new dataset enhances multilingual speech technology in India.

This study explores how synthetic data can tackle class and group imbalances.

Exposing the manipulation risks of influence functions in machine learning.

Discover a new way to design adaptive programming languages.