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 analyzing trends, advising clients, and making strategic recommendations instead of adding up columns of numbers all day. The real question isn’t whether AI will replace workers—it’s whether we’re smart enough to deploy it in ways that actually help people do their jobs better.
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 connection in our educational experience. Because the most important human capabilities aren’t about being more creative or contrarian than machines. They’re about being empathetic, collaborative, ethical, and wise. They’re about developing the judgment to know when to trust technology and when to question it. They’re about learning to work with people who are different from you, to navigate ambiguity, and to persist through challenges that don’t have clear solutions. Those capabilities develop through relationship and community, not through individual optimization.
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 meant, not just what you said—is rare, and powerful. But here’s the twist: AI doesn’t need to be human to offer that kind of recognition. It just needs to be designed to pay attention in the right ways. In this post, we explore what it really means to feel heard—and how emotionally intelligent AI can get closer to that ideal without being creepy, invasive, or fake.
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 design, safety testing, transparency and the risks and impacts on individuals and the digital humans industry when these are ignored.
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 that identify themselves as AI, that provide citations or reference material when needed, and that are programmed to say “I don’t know” instead of faking an answer. It also means building in human oversight. Our digital humans aren’t operating in isolation—they’re designed to escalate, defer, or connect users with live professionals when the conversation requires nuance, expertise, or empathy beyond the machine’s scope.
How AI is Transforming Healthcare Access: Insights from CodeBaby’s Norrie Daroga
Bridging Gaps in Global Healthcare with Generative AI CodeBaby is using AI to address healthcare access, workforce shortages, and patient education, starting with a partnership in the Dominican Republic. Backed by insights from global leaders like the World Economic Forum and McKinsey, this blog explores how our digital humans are delivering real impact in underserved communities.
Augmenting Educators: Scaling Expertise and Support with Emotionally Intelligent AI
Higher ed is evolving—and so are student expectations. Today’s learners need both instant access and authentic connection. In our latest blog, Michelle Collins, Chief Revenue Officer at CodeBaby, explores how emotionally intelligent AI can help institutions scale personalized support without overwhelming staff. Discover how empathy-driven avatars are reshaping the student experience, increasing engagement, and creating a more human-centered future in education.
AI in Education: A New Era for Learning and Equity
AI in Education: Rethinking What’s Possible
In this thought-provoking article, CodeBaby CRO Michelle Collins explores how AI—and specifically emotionally intelligent avatars—can help schools address some of their biggest challenges, from teacher shortages to learning inequities. Rather than replacing educators, AI can support them by personalizing instruction, increasing access, and making learning more inclusive. With the right tools and thoughtful implementation, AI can be a force for real change in the classroom.
Ethics in AI: Data Usage and Embeddings — The Invisible Architecture of AI
What powers AI isn’t just algorithms—it’s us.
In this thought-provoking piece, CodeBaby CRO Michelle Collins explores the invisible foundation of AI: the data and embeddings that shape how machines “understand” the world. From hidden bias in training sets to the ethics of consent in data use, this article dives into the real moral questions behind the tech. If we want AI to reflect humanity, we need to ensure it reflects the right parts.
AI Shouldn’t Replace Us—It Should Work With Us
In response to the viral “Worker Replacement Program” slide from OpenAI, CodeBaby offers a different perspective: AI should augment human capabilities, not eliminate them. While hype around automation grows, real-world applications show that AI works best when paired with people. From streamlining tasks to enhancing learning through emotionally intelligent avatars, CodeBaby champions a future where AI empowers the workforce—not replaces it.