Latest Articles for Transparency

A study on students' views regarding fairness and ethics in MMLA.

Examining February 2023 adjustments and their effects on user engagement.

A fresh approach to estimating how training data impacts model predictions.

Examining factors that influence trust in AI technology across diverse opinions.

Exploring the principles and importance of ethical AI use.

A framework to evaluate how AI solutions affect health equity in healthcare.

Using blockchain to enhance documentation for classic car restoration.

XpertAI offers tailored insights into AI predictions for better decision-making.

Improving transparency is vital for credible scientific research and reliable findings.

Examining the effects of drug company incentives on healthcare trust and patient opinions.

Examining the ethical concerns of Large Language Models in medicine.

Focus on using solid research to improve software development practices.

This article discusses the need for better benchmarking in graph processing research.

Exploring the role of ethics in language translation technology.

Discover how interactive visualization improves human-centered AI tools for better decision-making.

This research explores how people react to offers from robots and perceived motives.

This auction model aims for fairness and efficiency in item sales.

Examining how transparency and incentives affect user data sharing on Amazon.

Addressing accountability and replicability in ML through improved research claims.

Understanding how AI makes decisions is crucial for transparency and trust.

Exploring the responsible use of generative AI technology in various fields.

Rad4XCNN bridges deep learning and radiomics for clearer medical AI insights.

Explore how interpretable machine learning can enhance weather and climate predictions.

Guidelines for researchers to use generative AI ethically and effectively.

Examining the risks and governance of Claude, an AI chatbot by Anthropic.

A new model helps assess economic impacts of Alzheimer’s treatments.

Media organizations create guidelines for responsible AI use in journalism.

Examining the risks and opportunities of open-source generative AI technology.

Learn how prompts shape the interactions with Large Language Models for better results.

A guide to ethical auditing methods for machine learning technologies.

ExES sheds light on expert search and team formation system decisions.

Study reveals potential biases in AI decision-making for police intervention.

A look at how generative AI is changing the fact-checking landscape.

These models improve understanding and adaptability in AI decision-making.

This article discusses the importance of data practices for fairness in machine learning.

This article discusses differential privacy's impact on trust in the U.S. Census.

AI's growing role in recruitment raises concerns about bias and fairness.

Exploring the role of logic-based methods in AI decision-making transparency.

A look at how AutoML can better serve diverse user needs.

Assessing the gap between AI technology and regulatory frameworks.