Latest Articles for Technology Ethics

Exploring privacy concerns in fine-tuning diffusion models with personal data.

Examining key security issues related to large language models in AI.

A new AI approach promotes critical thinking and creativity to reduce dependency.

This article examines bias in TTI systems and the role of embeddings.

Examining the privacy issues linked to third-party SDKs in mobile applications.

A new approach to enhance transparency in AI responses and decision-making.

ARTAI aims to assess societal impacts of recommender systems and enhance transparency.

Exploring Reverse Preference Attacks and their impact on model safety.

Exploring how synthetic data safeguards privacy while enabling research access.

New methods improve Large Language Models through efficient information processing.

Examining the pitfalls of scaling AI models beyond necessity.

A new method to safeguard individual rights from image misuse in animations.

Balancing privacy and performance in AI through innovative unlearning techniques.

This study examines how people differentiate between real and AI-generated faces.

Examining issues in AI incident reporting for better practices and understanding.

Techniques to protect sensitive data in machine learning.

Investigating the quality and security concerns of AI-generated code.

A study reveals reasons behind secretive AI usage and stresses the need for transparency.

A study shows nudges work for headlines but not for cute deepfake videos.

Exploring how kindness can shape the future of artificial intelligence.

How AI shapes our decisions through recommendations and explanations.

Examining the potential dangers of using AI in health decisions.

Examining how news shapes views on AI's negative effects.

This article discusses fairness issues in Graph Neural Networks and introduces a new method.

A look at safety cases to manage AI risks effectively.

Examining how bias affects language models and their interpretation of offensive language.

A look into balancing privacy and functionality in robotic systems.

Examining how to include public input in AI decision-making.

Research method improves responses in models by reducing bias in sensitive topics.

How AI access impacts innovation and safety in technology use.

Researchers are improving word models to reduce gender bias in language processing.

Study reveals chatbots often seen as less empathetic than humans.

A look into how hidden tricks affect language models and their explanations.

Researchers tackle bias in language models using a new approach.

Exploring how machines forget data while maintaining privacy and function.

Examining the issue of sycophancy in large language models and its implications.

A look at bias in AI and how to tackle it fairly.

This guide discusses keeping data safe while training AI effectively.

Exploring the importance of safety filters in AI content creation.

Examining biases in AI language models and potential solutions.