Couverture de When the Algorithm Doesn't Get It: AI, Bias & Our Voices

When the Algorithm Doesn't Get It: AI, Bias & Our Voices

When the Algorithm Doesn't Get It: AI, Bias & Our Voices

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There's a story that begins with a simple question typed into a machine.

A Black woman sits at her computer, fingers hovering over keys, and types: "Create an image of a professional woman." What comes back doesn't look like her. Doesn't look like her sister, her mother, her daughter. She tries again. And again. Each time, the machine offers the same narrow vision of what "professional" means.

Miles away, another creator—a master of her craft with twenty years of experience—asks an AI to help polish her writing. But instead of elevating her voice, the machine strips away her cultural expressions, smooths out her regional dialect, erases the very things that make her words powerful. The AI calls this "improvement."

These aren't isolated incidents. They're symptoms of something bigger.

Step into a conversation that pulls back the curtain on the invisible forces shaping our digital world. Host VaLora Richardson—the woman who built her expertise in the trenches, who earned her stripes teaching AI to creators when most people didn't even know what a prompt was—guides us through territory most won't discuss openly.

This isn't just another tech talk. This is the story of how systems built by specific hands, trained on specific data, carry specific blind spots into our creative spaces. It's about the gap between the promise of AI and the reality creators face when their voices, their images, their cultural expressions get filtered through machines that weren't designed to see them.

But here's where the story takes a turn.

Because while the systems have limitations, the people using them don't have to accept those limitations quietly. There are creators learning to bend these tools toward their truth. Learning to prompt with precision. Learning to demand that the algorithm expand its vision.

VaLora shares the research that confirms what many suspected—and more importantly, the strategies that work. The difference between prompts that get you default outputs and prompts that get you your vision. The techniques that turn "the machine doesn't see me" into "the machine will learn to see me."

This episode reveals something powerful: we're not just users of this technology. We're shaping what it becomes. Every intentional prompt, every cultural image created, every voice that refuses to be smoothed into something generic—it's all changing the data. It's all expanding what's possible.

You'll hear about the client with Senegalese twists whose corporate AI scheduling tool couldn't see her rhythms. The student whose natural voice kept getting "corrected." The entrepreneurs whose family celebrations looked nothing like the families they knew.

And you'll discover what happens when creators stop waiting for permission and start teaching machines to see the fullness of human experience.

Follow the podcast: bit.ly/JustLoriPodcast

You are not too old. You are not too late. And you are not alone.

This episode is also your invitation.

If you're ready to stop dabbling in AI and start mastering it—there's a home for you inside M.U.S.E. Method Academy on the Skool platform.

M.U.S.E. stands for Monetize. Use AI. Simplify. Elevate.

It's a community of creators over 40 who are learning AI tools, building digital businesses, and refusing to be left behind. Inside, you get:

✅ Step-by-step AI training built for non-tech creatives✅ Monthly live sessions with Lori✅ Prompt libraries you can use immediately across image, writing, and business tools✅ A community of creators who get it—your culture, your pace, your goals✅ Business strategies to monetize your AI skills with digital products, coaching, and content

If you've been watching from the sidelines, this is your sign to get in before the door closes at this price.

👉 bit.ly/MUSEMETHODACADEMY

Follow the podcast: bit.ly/JustLoriPodcastJoin the academy: bit.ly/MUSEMETHODACADEMY

You are not too old. You are not too late. And you are not alone.

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