Latest Articles for Ethics In Technology

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.

Researchers find effective ways to remove unwanted knowledge from language models.

New dataset reveals how AI performs on Polish medical exams.

AI videos blur reality and deception, raising detection challenges.

Exploring the reasoning methods of language models in solving tasks.

Researchers aim to reduce sycophantic behavior in AI language models.

QABISAR enhances legal information retrieval, making it accessible for all.

Explore the importance of guiding AI model usage responsibly.

Learn how machines can forget unnecessary data for better privacy.

A new method generates speech from videos, enhancing dubbing and language learning.

New methods improve speech recognition while maintaining past knowledge.

Exploring how machine-generated images can vary due to uncertainty.

Researchers use FineRob and OM-CoT to mimic real social media behavior.

Investigating fairness issues in LLMs and strategies for improvement.

Exploring fair classification to prevent bias in automated decisions.

Explore AI's potential for good and harm in our society.

Revolutionary model creates realistic talking head videos at high speed.

Discover methods for maintaining privacy while ensuring fairness in data science.

Discover how machine unlearning improves AI safety and image quality.

This study measures uncertainty in model predictions to detect deceptive design patterns.

RefSD offers a smart way to create synthetic images while protecting privacy.

VariFace uses synthetic data to enhance fairness in facial recognition.

A new method allows robots to quickly learn tasks with minimal demonstrations.

Researchers turn ordinary videos into immersive 3D scenes using AI technology.

Evaluating techniques for language models to responsibly refuse harmful queries.

Addressing ethical concerns in AI-driven facial analysis technologies.

Addressing hate speech in Levantine Arabic involves cultural nuances and ethical dilemmas.

Researchers work to make AI explanations clearer and more reliable.

New method aims to improve safety in text-to-image models.

Examining biases in AI language models and strategies for improvement.