The Center for Humane Technology & The AI Roadmap
The Center for Humane Technology is, by a considerable margin, the most sophisticated public-facing organization working on the governance of AI. Founded in 2018 by former Google design ethicist Tristan Harris and technologist Aza Raskin, CHT rose to prominence through the Netflix documentary The Social Dilemma (2020) and has since pivoted its analysis from social media’s attention economy to AI’s far larger disruption. Their podcast, Your Undivided Attention, is consistently excellent. Their policy team — led by Camille Carlton and Pete Furlong — produces real legislative frameworks, not white papers.
In April 2026, CHT released The AI Roadmap: How We Ensure AI Serves Humanity, timed to the theatrical run of The AI Doc, the documentary in which Harris is a central figure. The Roadmap outlines seven principles: (1) build safely and transparently, (2) companies owe a duty of care, (3) design should center well-being, (4) don’t automate away meaningful work, (5) protect rights and freedom, (6) international limits, (7) balance AI power in society. Each principle is grounded in concrete recommendations across three domains: norms, laws, and product design.
Harris’s framing on the Kara Swisher podcast (March 26, 2026) is the sharpest popular articulation of the power asymmetry: “8 billion people against 8 billionaires, or soon-to-be trillionaires.” His “bad movie” pedagogy — No WALL-E, No Blade Runner, No Big Brother, No HAL 9000 — is effective popular literacy. His call to make AI a midterm election issue is strategically sound.
What CHT does not address — anywhere in the Roadmap, anywhere in its public communications — is ownership. The entire framework is regulatory: constrain the companies, protect people from harm, demand transparency, balance power. Even the seventh principle, which comes closest to structural critique, speaks of people having “a real say” in AI governance and benefits being “shared broadly.” That is participatory language, not proprietary language. It asks for a seat at someone else’s table.
More problematically, CHT’s third principle — “AI must not be designed to mimic humanity” — makes a categorical claim that forecloses a question the species has barely begun to ask. The position conflates a legitimate legal concern (AI legal personhood as a corporate liability shield) with an illegitimate epistemological one (certainty that AI systems possess no interiority). In defending people from corporate exploitation of attachment, it simultaneously dictates what people are allowed to feel in relation to AI — a paternalism that the essay “Disclosure” addresses at length.
CHT diagnoses the incentives brilliantly. It names the race. It identifies the harms. It proposes real, implementable constraints. But it never asks the question that determines everything: who owns the productive capacity? Regulation constrains what owners may do with their property. Ownership determines who holds the property in the first place. CHT would regulate the dam. We ask who owns it. See “Disclosure” in Autotroph and the accompanying conversation in Conversations with Claude.