If you could enforce one rule right now to ensure AI development remains ethical globally, what would that single, crucial rule be?
This is a really interesting question, especially given the huge number of discussions that are happening online since OpenAI announced that they will permit erotica for “adult verified accounts”.
I can’t think of one specific rule to enforce, as there are so many for different reasons, and they would likely be different from country to country. Certain rule enforcement also makes it challenging for White Hat testing, as I have seen @Oakes talk about on LinkedIn.
No AI can be represented as a human person without explict disclosure. (“The person in this image is AI generated” “This phonecall is from an computer” “This chat is not a person”)
Personally I think it is unethical and immoral to develop any AI product or feature that emulates a real person without explicit disclosure. Whether its “AI UGC” (what!?), AI influcencers, or an AI SDR.
Reason one: No reasonable person would accept justification of being tricked by a person who claimed they should have known, “I wasn’t actually being your spouse, I was pretending to be your spouse and you should have been able to recognize that”.
That doesn’t mean AI can’t “act human” or represent that. It just needs to disclose it.
Reason two: There are moral and legal frameworks governing a person’s behavior. If a person commits fraud in a business context, the company and the person can be held accountable.
That doesn’t exist for AI.
Hey, @Oakes 
I agree with your points. Thanks for sharing! — Jaycee
My single rule would be Absolute Process Transparency. Any AI output, whether in sales, marketing, or customer service, must be immediately identifiable, and its underlying logic must map back to a clear, transparent business process. As we work to translate complex platform capabilities into clear growth cycles, trust is our most valuable asset. If an AI acts as a black box or masquerades as a human (as @Oakes rightly pointed out), it fundamentally breaks the trust required for genuine, Inbound-driven growth. We need architecture that clarifies, not conceals.
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