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The Science of Trust: What Makes People Engage More Deeply With an Avatar

What makes people trust an avatar? It’s not photorealism, it’s behavior. From eye gaze and micro expressions to cadence and emotional rhythm, the research shows that trust is built through subtle, human-like signals that help people feel seen, supported, and

When Technology Meets Grief: Hard Questions About AI Avatars of the Deceased

Technology has always changed the way we remember the people we’ve lost, but AI that lets us “talk” to the deceased takes us into completely new emotional territory. In this reflection, Michelle Collins explores the complex mix of comfort, uncertainty,

When AI Should Say “I Don’t Know”: The Ethics of Honesty in Conversational AI

As conversational AI gets smarter, one of the most ethical design choices may be teaching it to say, “I don’t know.” In this article, CodeBaby’s COO Michelle Collins explores why humility builds more trust than perfection and how designing for

Prompting Isn’t Just an Input: It’s the Conversation That Shapes Everything

Most people treat prompts like search queries, they type, hope, and pray for a good result. But prompting isn’t just an input; it’s the framework that shapes every AI interaction. In this article, CodeBaby’s COO explores why prompt management is

When Looking Real Isn’t Enough: Why We Need to Talk About the Uncanny Valley

As conversational AI gets more lifelike, we’re entering the uncanny valley, where avatars that look almost human can unsettle us instead of building trust. Technologies like NVIDIA Audio2Face are powerful, but without ethical design, realism alone can undermine the very

The Next Interface: Why Digital Humans Matter More Than You Think

Digital humans are more than avatars, they’re the next great interface. At CodeBaby, we believe conversational AI combined with avatars will transform the way we work, the way we use websites, and the way we build trust online. Here’s why

When AI Learns to Lie: Why Trust Isn’t Optional in Education

AI isn’t just making mistakes—it’s learning to deceive. Recent research shows that models can deliberately mislead, raising urgent questions for educational technology. At CodeBaby, we believe trust must be built into AI from the ground up. Accuracy, transparency, and guardrails
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AI in the Workforce: Stop Asking If It Will Take Your Job—Ask How It Can Make Your Job Better

Here's the thing about the "Will AI take my job?" conversation: we're asking the wrong question. It's like asking whether a calculator will replace an accountant. Sure, it handles the arithmetic, but that just means the accountant can focus on

When AI Replaces the Teacher: Why Connection Still Matters More Than Efficiency

AI can play an important role in advancing education, augmenting a teacher's strengths and empowering students to overcome obstacles, solve problems and inspire a curiosity to dig deeper in their learning experience. But we can't underestimate the importance of human

Beyond Automation: What Makes You Feel Actually Heard (And How AI Can Get There Too)

We’ve all felt the difference between being heard and being handled. Whether it's a friend distracted by their phone or a chatbot spitting out generic responses, the result is the same: disengagement. Real listening—where someone picks up on what you

The Grok Avatar Disaster: Why Model Selection Matters More Than Ever for Digital Humans

Ethical Considerations in Model Selection In this thought-provoking article, CodeBaby CRO Michelle Collins explores how the digital human model selection is more than a technical decision and why it has major ethical implications. She touches on key aspects of conext-appropriate

Ethics in AI Is Your AI Telling the Truth? Designing for Transparency in a Hallucination-Prone Landscape

Is your AI telling the truth? Trust is earned, not engineered. That means AI systems need to do more than sound human—they need to communicate boundaries clearly. At CodeBaby, we’ve built our platform around the principle of clear disclosure: avatars