Latest Articles for Ethics In Technology

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.

Bias in datasets can worsen AI predictions, leading to unfair outcomes.

Discover techniques for balancing privacy and fairness in machine learning models.

A look at synthetic data and its role in privacy.

Research reveals pros and cons of Mixup techniques for fairness in AI.

Learn about the promise and challenges of quantum technologies with standardized documentation.

New framework enhances training of generative models, reducing biases and improving outputs.

Learn how LLMs improve performance during predictions without extensive resources.

Research reveals challenges visual language models face with ambiguity in communication.

Understanding AI decisions is crucial for trust and fairness in our society.

Research reveals how ethical agents can promote fairness and cooperation in technology.

Exploring the need for AI systems that prioritize human values and ethics.