An adoption gap is growing in the customer care space as leading organizations begin to see impact from AI across customer experience, cost reduction, and revenue generation.

As AI reshapes software development, how can companies build trust and deploy AI at scale? Stack Overflow CEO Prashanth Chandrasekar shares his perspective.

Discover how to use transactions in MySQL to keep your data safe and organized—just like a diligent librarian! This beginner-friendly post explains what transactions are, why they matter, and how...

Wikipedia draws 11 billion monthly views—and that’s just in English. Its cofounder shares how a global knowledge experiment became an exercise in building both a durable product and consumer trust.

When we talk about Artificial Intelligence in UX, we often hear: “How do we make users trust the system?” It sounds intuitive — after all, trust is central to how humans cooperate. But psychology...

Admiral Thad Allen reflects on what it takes to be a public service leader—with trust, transparency, emotional intelligence, and self-learning emerging as the most important traits.

This essay was originally published on The Sidebar, Mozilla’s Substack. When I started my newsletter, as seen on, a little over a year ago, it was because in the absence of early morning commutes,...

机器之心数据服务现已上线，提供高效稳定的数据获取，简化数据爬取流程。

We are fully in the era of artificial intelligence (AI), and as businesses unlock unprecedented opportunities for growth and efficiency, AI agents (also known as agentic AI) are providing...

本研究提出了一种动态贝叶斯网络模型，旨在缩小人类与自动驾驶汽车之间的互动差距。该模型能够推测用户的认知状态，预测用户的福祉和信任，从而促进更人性化的自动驾驶决策，提高用户体验和安全性。

随着混合办公的普及，越来越多员工使用Android设备访问公司资源，导致54%的组织遭遇数据泄露。Android企业推出的Device Trust解决方案可验证和保护工作用Android设备，提供实时安全状态检查，整合多种安全工具，确保公司数据安全，无论设备是否由企业管理。

本研究探讨用户在视觉语言模型（VLMs）交互中的信任动态，评估现状并提出未来研究需求，强调信任建立的重要性。

本研究分析了公众对生成性人工智能的信任与风险感知如何影响其监管偏好，结果表明公众普遍支持对人工智能的监管，且信任与风险感知显著影响政策倾向。