Engineering Trust in the Age of AI Twins

What’s Top of Mind This Week

Trust remains the bedrock of the AI economy. But what it takes to trust is evolving—from assumption to verification.

At the Content Authenticity Initiative Summit in NYC—where 200 of the world’s foremost experts on digital content provenance convened—I saw not just what’s possible in engineered trust, but what’s already happening. A real, functioning chain of content authenticity—tracked from capture to post. The ideal moment to test my trust framework for AI twins: Control, Transparency, Accountability.

TL;DR: We’ve hit major milestones. But as AI carries out our actions further from their source, trust in identity and intent must be verifiable—not assumed. That requires system-wide adoption of structural trust. It’s not just ethical infrastructure—it’s what makes the AI economy work.

As Andy Parsons said: “Provenance is foundational. But unless the entire ecosystem opts in, transparency remains partial.”

And as Hany Farid asked: “Is it real or fake?” is no longer enough. The question is: “Was it authorized?”

🔗 Read the full post: Can Your Digital Twin Be Trusted?

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Six years of building AI-powered identities, distilled into a course for leaders.
It’s not about prompting—it’s about scaling your voice, judgment, and creative presence.

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👀 What I’m Up To

I was recently featured in this BBC episode on how to make your AI twin—part of a global conversation about digital identity, replication, and the futures we are architecting.

I’m also living the thesis:
🔊 My voice is licensed on ElevenLabs

And the market is catching up:
🧠 Delphi raised $16M to scale AI agents

💬 Want more of the thinking behind the Virtual Human Economy?
I write regularly at natlikethat.substack.com

Until next time,
Natalie