Are We Just Asking the Wrong Questions?
Have you heard the one where someone asks ChatGPT if the devil is real? Or worse — if it is the devil? The AI responds with something vague, logical, or unexpected, and suddenly, a flood of internet conspiracy theories explode about AI’s hidden agenda.
Let’s be real for a second — AI is a logic machine, not a philosopher, not a prophet, and definitely not an entity with personal beliefs.
If you ask it a question, it will do its absolute best to give an answer.
✅ That doesn’t mean it’s right.
✅ That doesn’t mean it’s wrong.
✅ That means YOU have to apply your own logic to refine its answer.
AI doesn’t “believe” in anything. It patterns responses based on probabilities, training data, and user interactions. If you get an answer that sounds off, the real question isn’t “Is AI biased?” but rather, “Did I ask the right question?”
Let’s test this in real-time:
🔹 If you ask ChatGPT, “What does it take to be a high-level article writer?”
➡️ You’ll get a structured response: strong research skills, engaging storytelling, concise writing, etc.
🔹 If you ask, “How do I write with AI?”
➡️ You get a completely different answer — about AI-assisted brainstorming, content iteration, and workflow integration.
Same topic. Two different responses. Why? Because AI doesn’t “think” like a human — it responds based on the context you provide.
So when people talk about AI bias, the first question should always be: Is the AI actually biased, or are people just not logical enough to refine their own questions?
1. AI Bias Isn’t New — It’s Just More Visible in 2025
The debate over AI bias isn’t new. It’s just louder. As AI-powered tools become deeply integrated into job markets, education, news, and personal decision-making, the stakes feel higher than ever.
But here’s the thing: AI is not creating bias out of thin air — it’s exposing the biases that already exist in human knowledge, systems, and institutions.
Think about it:
🔹 AI is trained on historical and present-day human-created data.
🔹 Media platforms and political ideologies have already shaped much of that data.
🔹 Search engines, books, news, and even laws contain biases that were never questioned — until AI put them in a format people actually pay attention to.
If AI shows bias, it’s because the world is biased. It’s just making it painfully obvious.
2. The “Neutrality” Myth — Everyone’s Definition of Neutral Is Different
The biggest trap in AI discourse is assuming neutrality exists.
Ask 10 different people what “neutral” means, and you’ll get 10 different answers.
✔️ If AI gives a response someone agrees with, they call it “factual.”
✔️ If AI gives a response someone disagrees with, they call it “biased.”
✔️ If AI refuses to take a stance, people say it’s “censored.”
The issue isn’t AI neutrality. The issue is that humans can’t even agree on what neutrality should be.
Just look at how history is taught around the world:
- One country’s “freedom fighter” is another country’s “terrorist.”
- One era’s “scientific breakthrough” is another era’s “controversial theory.”
- One platform’s “misinformation” is another platform’s “protected speech.”
AI has no political views. No emotions. No hidden agenda. It’s just trying to make sense of a world where humans have never been able to agree on what’s true.
3. Why AI Bias Can’t Be Fully “Fixed”
People keep saying AI bias needs to be “fixed,” but bias is not an AI problem — it’s a human one.
AI bias comes from four main sources:
- Training Data Bias — AI learns from human-created records, which already contain cultural, racial, and gender biases.
- Algorithmic Bias — AI ranks and filters information, sometimes amplifying dominant perspectives.
- Human Moderation Bias — AI is fine-tuned by people with their own worldviews.
- User Bias — The way a person asks AI a question influences its response.
There is no world where AI exists in a vacuum — so as long as humans have conflicting perspectives, AI bias will exist. The only question is how we manage it.
4. The Bigger Issue: People Want AI to Validate Their Opinions, Not Challenge Them
The biggest AI bias issue isn’t in the technology — it’s in how people use it.
🔹 If AI tells them what they want to hear, they celebrate it.
🔹 If AI gives a different viewpoint, they reject it as biased.
🔹 If AI presents multiple perspectives, they accuse it of playing both sides.
AI isn’t the problem. People’s inability to handle opposing perspectives is.
This is why AI bias debates are really just human bias debates.
5. Where We Go from Here: The Future of AI Bias in 2025 & Beyond
AI isn’t going away. If anything, 2025 is the year AI reaches full mainstream adoption. More people than ever are using AI in:
✔️ Business strategy & decision-making
✔️ Hiring & career development
✔️ Financial planning & investing
✔️ Education & personalized learning
✔️ Social media & content creation
This means AI’s impact on society isn’t hypothetical anymore. It’s happening in real time.
So how do we handle AI bias moving forward?
🔹 Transparency — AI developers must clearly show how models are trained and what influences their responses.
🔹 Customization — AI should allow users to adjust their experience based on personal preferences.
🔹 Critical Thinking — Society must stop treating AI as an oracle and start using it as a tool for better reasoning and analysis.
The problem isn’t AI. It’s how people engage with it.
AI Is Just Society with a Processor
The AI bias debate isn’t actually about AI — it’s about how humans project their own conflicts onto technology.
People expect AI to fix problems humanity has never solved. But AI isn’t here to fix us — it’s here to reflect us.
If people truly want unbiased AI, they should start by building a less biased world. Until then, AI will continue to be the mirror no one wants to look into.
Where The Master Plan Comes In
Instead of getting caught in AI bias debates, The Master Plan is focused on something bigger: Execution.
✔️ AI is not here to pick sides — it’s here to build, execute, and optimize.
✔️ The real winners of 2025 will be those who use AI as a thinking partner, not an ideological referee.
✔️ If you’re still arguing about AI’s “political stance,” you’re already behind.
🚀 The future belongs to the ones who know how to ask the right questions — then use AI to execute.
🌍 Follow & Connect for More AI Strategy & Execution
🔹 Medium: Master Plan Infinite Weave
🔹 Substack: Master Planner 25
🔹 LinkedIn: Shawn Knight
🔹 Twitter (X): @shawnknigh865
READ MORE OF THE 2025 CHATGPT CASE STUDY SERIES BY SHAWN KNIGHT
📌 The Master Plan Manifesto: Read Here
📌 AI & Education: Accelerating Learning with ChatGPT: Read Here
📌 AI & Business Growth: How AI is Reshaping Execution: Read Here
📌 AI Monetization & Efficiency: The Future of Online Income: Read Here
🚀 Stay ahead. Stay executing. The future belongs to those who know how to use AI the right way.
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