Latest Articles for Ethics In Technology

Researchers introduce the STOP dataset to analyze bias in language models.

Exploring synthetic data's role in promoting fairness in recommendation algorithms.

Exploring the balance between adversarial threats and proactive measures in machine learning.

This paper investigates fairness in blocking methods for entity matching systems.

This article focuses on identifying data misuse in text-to-image models.

A method to reveal what deep neural networks learn and how it aligns with existing knowledge.

Exploring the impact and future of large language models in communication.

A framework for improving trust in LLMs while managing sensitive information.

Scientists can now convert brain activity into verbal descriptions of thoughts and images.

A new method improves language models' understanding of human preferences.

A new method improves detection of texts generated by language models.

A new method predicts memorization risks in Large Language Models to enhance privacy.

Research reveals weaknesses in online toxicity detection using ASCII art techniques.

This study examines the influence of LLMs in various disciplines beyond computer science.

A new method simplifies the removal of unwanted content in visual datasets.

This paper evaluates fairness issues in Retrieval-Augmented Generation methods.

Illustrious brings advanced techniques to create stunning anime images from text.

Exploring how to instill kindness in smart machines for better interactions.

An analysis of who qualifies as an expert in machine learning.

Harnessing AI to combine human insights for tackling world challenges.

Exploring how robots can balance responsibility and rewards in decision-making.

New methods target mislabeled samples to improve model fairness.

Enhancing realism in synthetic faces for better face recognition performance.

A new method offers a simpler way to compute fairness-performance balance in machine learning.

Federated Learning and Explainable AI ensure safe and clear data practices.

How to maintain personal choice amid powerful algorithms.

This article introduces a dataset designed to test AI's ability to detect fake images.

Researchers develop DROJ to enhance the safety of language models against harmful prompts.

Learn how people are bypassing safety limits on advanced language models.

This article discusses protecting our personal data from language models.

Iris recognition systems perform differently based on the color of eyes.

Synthetic faces improve privacy while enhancing face recognition technology.

Exploring fairness measures in algorithms for better decision-making.

A look into ensuring AI systems serve public interests effectively.

Using open-source models to improve harmful content detection efficiently and effectively.

Examining the challenges and methods of achieving fairness in machine learning.

Understanding the challenges and solutions for protecting privacy in data sharing.

Examining adversarial attacks and promoting fairness through mixup training.

How predictions shape actions and outcomes in everyday life.

Exploring the dangers of misuse in artificial intelligence through jailbreak prompts.