The Ethics of AI Content: My Rules

The AI ethics conversation is usually abstract — philosophers debating consciousness, policymakers writing frameworks nobody reads. Meanwhile, creators like us face concrete ethical decisions every single day: Is this okay to publish? Should I disclose that? Am I misleading anyone?

I don’t have a philosophy degree. But I have a publishing workflow that uses AI daily, an audience that trusts me, and a reputation I can’t afford to lose. So I developed practical rules — not for the seminar room, but for the publish button.

The short answer: AI can help you produce, but it cannot take responsibility for what you publish — you do. My rules are simple: AI assists, I decide; never publish what I haven’t checked; never fake experience I don’t have; and always write for the reader’s benefit, not the algorithm’s.

Here they are.

Rule 1: Never Publish What You Haven't Verified

AI hallucinates. Confidently, fluently, persuasively. It will invent statistics, fabricate quotes, and describe events that never happened — all in perfect prose.

My rule is absolute: every factual claim that matters gets verified by me before publishing. Not “looks right.” Not “probably true.” Verified — against a real source I actually checked.

This isn’t just about AI. It’s about the standard I hold regardless of tool. But AI makes it more critical, because AI output feels authoritative. The fluency is a trap. The smoother it reads, the more carefully I check it.

If I can’t verify a claim, one of three things happens: I cut it, I soften it (“many creators report…”), or I label it clearly as my opinion rather than fact. What never happens: publishing it as fact on AI’s authority alone.

Rule 2: Disclose AI Use Honestly (Without Performing It)

My position on disclosure is straightforward: I’m open about using AI, but I don’t turn every post into a confession.

What this looks like in practice: I don’t hide my AI-assisted workflow. If someone asks, I explain exactly how I work — AI drafts from my material, I rewrite and verify, final judgment is mine. I’ve written openly about it in How AI Changed My Content Workflow.

What I don’t do: add “Written with AI assistance” disclaimers to every article like a warning label. The disclosure that matters isn’t about the tool — it’s about the accountability. My name is on it. I stand behind it. That’s the disclosure.

The ethical core isn’t “did a machine touch this.” It’s “is this honest, and does a real person take responsibility for it.” I do.

Rule 3: Never Fake Human Experience

This is my brightest red line: AI must never generate fake personal stories, fake testimonials, or fake lived experience under my name.

No invented “I remember when…” anecdotes. No synthetic case studies presented as real. No “a reader told me…” stories that no reader told me. My experiences — at Grameenphone, Pathao, FrontStory, building Superpreneur Bangladesh — are real, and they’re the foundation of my credibility.

Why is this the brightest line? Because trust is the only currency that matters in the creator economy, and faked experience is counterfeit currency. Once your audience suspects your stories are synthetic, everything you’ve built collapses. I’ve written about the trust-building process in Building Trust Online When Nobody Knows You — faking experience would torch all of it overnight.

AI can help me tell my stories better. It can never invent them for me.

Rule 4: Don't Use AI to Manipulate

There’s a spectrum of persuasion, and AI makes the dark end dangerously easy:

Generating fake reviews? Never.
Creating synthetic social proof? Never.
Writing misleading headlines AI optimized for clicks over truth? Never.
Producing content designed to exploit fear or outrage for engagement? Never.

The rule: AI amplifies intent. If my intent is to genuinely help, AI helps me help better. If someone’s intent is to deceive, AI helps them deceive at scale. The tool is neutral; the ethics live in the intent. I keep my intent clean, and I use AI only in service of work I’d be proud to defend publicly.

This also means I don’t use AI to impersonate others, generate deepfake-style content, or create anything designed to mislead about its origin. The line is simple: if I’d be embarrassed explaining how it was made, I don’t make it.

Rule 5: Respect the Commons

AI models trained on the internet’s collective output — including other creators’ work. This creates a responsibility: don’t use AI to strip-mine other people’s creativity.

What this means for me:

I don’t ask AI to “write in the style of [specific living creator]” to clone their voice.
I don’t use AI to rewrite someone else’s article just enough to call it mine.
When AI output closely resembles a known source, I credit the source or rewrite from scratch.

The creator economy runs on originality and attribution. Using AI to launder others’ work isn’t leverage — it’s theft with extra steps.

Rule 6: Keep Humans in the Loop for Consequential Content

The more consequential the content, the more human judgment it requires. My tiered approach:

Low consequence (social posts, routine updates): AI-assisted freely, light review.
Medium consequence (articles, tutorials, advice): AI-assisted, heavy editing, full verification.
High consequence (financial advice, health-adjacent topics, anything affecting livelihoods): Maximum human oversight. AI helps with structure; every claim verified; I add explicit disclaimers where appropriate.

AI doesn’t know the weight of what it’s writing. I do. The weight determines the workflow.

Why Rules Beat Vibes

I could have just said “use AI ethically” and left it vague. Vague ethics collapse under pressure — under deadlines, under temptation, under the ease of letting the machine do a little more than it should.

Rules are better than vibes because they’re decidable in advance. When I’m tired at midnight and AI produces a plausible-sounding statistic, I don’t have to deliberate. Rule 1 says: verify or cut. Decision made before the temptation arrived.

If you use AI in your work — and you should — write your own rules. Make them specific. Make them strict enough to be meaningful. Then follow them when it’s inconvenient, because that’s the only time they matter.

The creators who last won’t be the ones who used AI most aggressively. They’ll be the ones who used it most responsibly — and whose audiences knew the difference.

*I’m building my version of success in public — and helping Bangladeshi job holders build theirs. Join the journey in Bangla: @superpreneurbd*