Latest Articles for Ethics In Technology

A new method enhances text-to-image models for better identity representation.

This study analyzes the effectiveness of synthetic images in face recognition systems.

A new metric to assess the accuracy of AI model explanations.

A look at the competition on synthetic datasets for face recognition technology.

This article discusses a method for identifying non-factual content in AI responses without human labels.

Exploring how generative models can subtly infringe copyright laws.

A new method enhances caption quality for 3D objects.

Adaptive Fair Representation Learning offers fair and accurate recommendations tailored to individual user needs.

Researchers aim to generate balanced synthetic data to prevent bias in machine learning.

A new method aims to improve fairness in machine learning without sacrificing performance.

Examining how AI influences human judges in bail decisions.

Developers must prove AI systems are safe to manage risks effectively.

A new tool offers flexible definitions of fairness for machine learning analysis.

Enhancing face images while keeping the person's identity intact.

AdvisorQA evaluates language models' ability to provide personal advice effectively.

A method to reduce bias in existing deep learning models using minimal examples.

Exploring how to guide AI systems for societal benefit.

A new method aims to reduce bias in machine learning for evolving data streams.

A new approach enhances AI explanations through feasible and coherent counterfactuals.

Concerns rise over the safety of Text-to-Image models and their misuse.

Ensuring technology design respects user diversity and context.

A look at how to identify human and machine-written content.

This article examines ways to identify and challenge unfair algorithms.

A framework to improve Explainable AI methods and user trust.

Introducing a new method to enhance facial diversity in AI datasets.

New tools enhance voice recording editing and production quality.

Guidelines for researchers to use generative AI ethically and effectively.

A new method aims to enhance truthfulness in language models while maintaining accuracy.

A new approach to generate more informative captions for images.

Introducing methods to guide language models in displaying specific personality traits.

This study investigates the effectiveness of multilingual models in detecting audio deepfakes.

This article covers the importance of ethical practices in dataset management for machine learning.

AI tools show potential but face significant safety concerns for mental health support.

A deep dive into the development and implications of language models.

A study on hands-on learning with generative AI tools in primary education.

Multicalibration enhances LLM accuracy by refining confidence scores and addressing hallucinations.

A new method addresses privacy and fairness in regression models using innovative adjustments.

A method to enhance fairness in classification models for sensitive areas.

Exploring how disagreement in data labeling can provide valuable insights.

Addressing the threat of AI imitating video styles through innovative protection methods.