Latest Articles for Technology Ethics

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.

Privacy auditing is vital for safeguarding personal data in today's information age.

This article discusses the importance of diversity in AI-generated images.

A fresh method to identify AI-created images using predictive uncertainty.

Researchers tackle biases in language models for Filipino, enhancing cultural relevance.

Exploring the need for fair AI in image classification.

Exploring the Superficial Consciousness Hypothesis in artificial intelligence.

Uncovering the hidden tricks behind online interactions.

Using decision trees to reveal gender bias in AI models.

New methods help AI models safely remove unwanted information.

Fairness shields monitor AI decisions to promote equality and reduce bias.

Discover how AI can align with human intentions without unintended outcomes.

Exploring how AI, through fun methods, can influence public mobilization.

Discover how language models can learn and adapt while avoiding harmful content.

A new approach aims to make AI systems more trustworthy and less deceptive.

Researchers uncover vulnerabilities in Multi-Modal Large Language Models through clever tactics.