Latest Articles for Transparency

A new method streamlines variable selection for better prediction accuracy.

Research combines superfluid helium and microwaves for improved measurements.

Explore the importance of structured documentation in AI development for safety and trust.

A new approach to make ranking systems fairer for all groups.

A proposal for improving AI systems' safety and transparency through accountability measures.

A four-step method to promote ethical AI development across various roles.

An overview of the challenges in using RLHF for AI alignment.

Examining how AI impacts global safety and ways to build trust.

Explore the behavior of currents in three-terminal Josephson junctions and their applications.

A toolchain for enhancing data usage visibility among employees.

A tool that analyzes smart device privacy policies for better user awareness.

Users express privacy worries with smart device automation systems.

A framework for creating fair and inclusive smart devices.

New voxel-based methods enhance brain imaging visualization and transparency.

Understanding how AI improves clinical risk prediction and trust.

Research explores balance in multilingual language models for fairness and privacy.

This article examines the risks of revealing individual votes in elections.

Learn why deleting your data matters and the challenges involved.

New insights on the Macroscopic Zeno Effect reveal innovative light control methods.

Corruption hinders growth and access to essential services globally.

Study reveals how removal explanations boost user participation on social media.

A deep dive into advertising rules on Twitter reveals significant non-compliance.

ClusterFormer combines multiple tasks into one versatile model for computer vision.

A new framework improves causal simulations for reliable data analysis.

Examining user trust in ChatGPT for health-related decisions.

Survey reveals diverse public opinions on responsible AI use and governance.

This article examines fairness issues in AI-based mobile app reviews.

Examining how ML practitioners implement responsible machine learning practices and the challenges they face.

Access levels in AI audits influence effectiveness and risk identification.

Users seek clarity and transparency in search engine results.

Analyzing how red-teaming can enhance AI safety and address potential risks.

Exploring how digital tools can enhance citizen engagement and trust in democracy.

A method for verifying machine learning models to enhance trust and transparency.

Examining the risks of data contamination in closed-source language models.

This article explores the use of AI in predicting crime locations and its implications.

Exploring the key ethical concerns in AI development and usage.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

Examining how platforms manage misinformation while balancing user engagement.

Examining the effects of AI on how we share information.

Developing regular transparency reports for foundation models is essential for accountability.