Right now, we’re at a crossroads. Companies like Google and OpenAI are trying to create AI that pleases everyone, but that’s a fool’s errand. It’s like trying to make a single dish that satisfies every palate on the planet. Impossible. And in their attempt to sanitize AI, to strip it of any bias, they’re stripping it of its humanity, its ability to truly connect and resonate with us. For enterprise teams, hiding model bias instead of documenting it makes governed automation impossible to audit.
For enterprise readers evaluating roadmap choices, themes such as Woke Gemini, Generative AI, AI innovation surface repeatedly in architecture reviews. Those discussions are less about novelty and more about measurable throughput, exception transparency, and safe rollout. Related priorities often include AI trends, especially where compliance and customer experience intersect.
But what if, instead of erasing these biases, we embrace them? What if we document every quirk, every lean, every predisposition of these AI models? This isn’t about admitting defeat; it’s about honesty. It’s about building trust. Documenting model behavior is the same principle behind AI audit trails in enterprise automation. When we understand where an AI is coming from, we can truly start to engage with it, to argue with it, to grow with it and let it grow with us. It’s like knowing a friend’s biases, it doesn’t make you like them any less; it just makes your relationship richer, more nuanced.
And think of the possibilities! Instead of a one-size-fits-all AI, we could have a whole spectrum. Need a creative spark? There’s an AI for that. Wrestling with a tough ethical dilemma? There’s an AI for that, too. Need to think of attacking your opposing political party? There’s an AI that aligns with your party too! Each with its own perspective, its own biases, ready to help us, inspire us, and represent us and see the world through our lens. This diaspora of AI models will evolve with Darwinian evolution as humans accept and reject them – as some come into fashion and others fade away giving room for the next set of AI models.
This isn’t just about making better AI; it’s about making a better world. A world where technology doesn’t just serve the majority but celebrates the diversity of human experience. Where every person can find an AI that resonates with them, that understands them, that reflects their unique view of the world.
So, to Google, to OpenAI, to all the giants of the tech world, I say this: Stop trying to make AI that pleases everyone. Embrace the biases. Document them. Share them. Let’s create a mosaic of AI models as diverse and vibrant as humanity itself. Let’s not shy away from the tough conversations, the uncomfortable truths. Because in those moments, in that honesty, we’ll find the true potential of AI, not as a master, but as a mirror, reflecting the full spectrum of human thought and emotion. If you found that Gemini was “woke”, be honest and call it so – Gemini Woke and document its behavior and make it available. It may be useful to some people – in fact to a lot of people once they know what its biases are. But then release a Gemini “Republican”, a Gemini “Hindu”, a Gemini “Teenager”, a Gemini “Ukrainian”, a Gemini “anti-social mad scientist”, etc.
Wouldn’t that be something? A world where we don’t just use AI, but engage with it, challenge it, learn from it. A world where AI isn’t hidden behind the veil of “I am just an AI model”, but a partner in our quest to understand the world and each other. That’s the future I want. That’s the future we need. Let’s make it happen. Please.
Binny Gill
Founder and CEO,
Kognitos, Inc.