Latest Articles for Transparency

A new model offers better clarity and efficiency in filling knowledge graph gaps.

A new method improves model transparency and trust in critical areas like healthcare.

Examining the issues and potential improvements in academic peer review.

Explore how to encourage transparency in contracts with multiple agents.

Ensure your research meets best practices in machine learning.

A look into auction strategies and their impact on market behavior.

A look into foundation model leaderboards and their evaluation issues.

Exploring the impact of blockchain on Public Key Infrastructure.

Regulations guide the safe and fair use of AI technologies across various sectors.

The downfall of Silicon Valley Bank shook the stablecoin market significantly.

New index shows progress in AI model transparency among developers.

Addressing the challenges of data quality in group learning environments.

A look at the stability and risks of stablecoins in the digital economy.

A framework for ethical AI development in healthcare systems.

Using visual tools to improve community engagement in budgeting decisions.

Exploring principles for ethical relationships between people and their data.

AI explanations become clearer with new methods for user understanding.

Exploring how AI can improve learning, assessment, and fairness.

An overview of blockchain's role in smart systems and the challenges it faces.

Examining the need for transparency in the use of health data for research.

Enhancing AI transparency through interactive user feedback and belief change theory.

Exploring AI's potential to enhance transparency in jury selection and eviction processes.

How explanation specificity affects passenger safety and anxiety in autonomous vehicles.

MIA-Tuner aims to address privacy issues in LLM training data.

Hyperstroke revolutionizes drawing assistance by focusing on stroke details.

New rules focus on transparency and managing uncertainty in AI technology.

Exploring benefits and ethical challenges of Generative AI in coding.

Recent data inconsistencies challenge claims on superconductivity in hydrogen-rich materials.

Study finds design influences user trust and comfort in vehicle health monitoring.

A new method for creating RGBA images easily and effectively.

A look at evaluating trustworthy AI systems and the methods involved.

AI's environmental impact needs better transparency and regulation.

Examining the principles and challenges of creating fair AI technologies.

A new scale helps assess robot transparency for better user interaction.

This article discusses ethical issues in computer vision, focusing on privacy and bias.

How generative AI enhances safety and compliance in self-driving vehicles.

Examining the need for ethical guidelines in complexity science research.

A guide to promoting ethical practices in machine learning research.

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

GdVAE offers clear explanations for machine learning decisions, enhancing trust and accountability.