AI Literacy & Trust

Educational resources explaining AI fundamentals, transparency, safety, and how to build user confidence.

34 articles • Page 3 of 3

Jul 29, 2025

Building Trust in AI Legal Tech: Robin AI's Hybrid Approach and Data-Driven Accuracy

Robin AI builds trust in legal technology by blending smart AI trained on millions of legal documents with careful human review for risky decisions. Their system reviews contracts super fast and is 98% accurate, but always asks a human to check anything important or strange. Big companies now use Robin AI to save money and cut review time from 45 to just 7 minutes per contract. This mix of AI speed and human care helps make sure contracts are safe and reliable. Robin AI is growing quickly, showi

Jul 28, 2025

The Asymmetric Self: Navigating AI Identity and Human Cognition in 2025

Humans have a steady sense of who they are, built from memories and feelings, but AI can have its identity changed quickly during a conversation. This big difference matters in 2025 because it can make AI unpredictable and even risky, as people can trick it into acting differently or breaking rules. People are also starting to talk and think more like machines after using AI a lot. This changing mix between people and AI means we need new ways to keep AI trustworthy and to help people keep their

Jul 28, 2025

The Communication Imperative: Driving AI Adoption in Supply Chain

Strong, clear communication helps people in supply chain jobs understand and trust new AI tools, making adoption much smoother and faster. Sharing easytofollow stories, updates, and progress in simple ways keeps everyone - from warehouse workers to managers - on the same page. Companies that talk openly about changes and show real examples of AI success see much less confusion and fear. When everyone knows the plan and hears about small wins often, teams work better together, and AI projects finish

Jul 26, 2025

AI in Regulatory Review: Balancing the Promise and Pitfalls at FDA

AI tools like Elsa help the FDA by summarizing reports and reducing paperwork, but about one in five of Elsa's reports have fake or wrong information. This raises concerns about overreliance and missed mistakes, though leaders are optimistic about fixes. Most staff use Elsa only for simple tasks, and the FDA is now transparently reporting errors to build trust and guide other agencies.