Can AI See Me? · An official virtual side event of the first UN Global Dialogue on AI Governance · 6 July 2026
“What would AI governance need to do so that everyone here felt seen by AI?”
For forty-five minutes, faith leaders, peacebuilders, technologists, and civil-society voices from four-plus continents answered that question together — by writing statements and voting on each other's, live and for 24 hours after.
We asked how AI could see everyone. The room answered a question we didn't ask — whether it should.
Act 1
Recognition without intimacy
The conveners treated “being seen” as one thing. The room took it apart into two — and gave them opposite verdicts. Being seen as a community, accurately and accountably, was the strongest demand of the event. Being seen as a person, deeply and individually, was refused.
Seen as a community: the strongest consensus of the event [2] 32 agree · 0 disagree · 1 pass (of 33)
“Communities must have a real way to challenge how an AI represents their tradition, and get errors fixed”
Statement 2 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Seen as a person: rejected [4] 6 agree · 20 disagree · 10 pass (of 36)
“The benefits of AI knowing me personally outweigh the privacy risks.”
Statement 4 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Representation is a collective right; intimate knowledge of individuals is a threat. The personalization-versus-protection trade-off we anticipated wasn't balanced by the room — it was dissolved.
Act 2 · The centerpiece
The map of the room
Two questions, not one
The room's opinions organize along two nearly independent axes (correlation -0.2949): where the remedy lies — boundaries around the human core, or community authorship of AI — and whether AI belongs close to you. Each axis is anchored by statements the room itself wrote or fought over:
Remedy, one pole: it isn't AI's job — the sharpest divide in the data [9] 10 agree · 15 disagree · 11 pass (of 36)
“It isn't AI's job to reflect every culture's values.”
Statement 9 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Remedy, other pole: community authorship as a gift outward [35] 15 agree · 3 disagree · 7 pass (of 25)
“An AI designed by an indigenous culture could help educate the mainstream culture in their ways of thinking.”
Statement 35 · written live by a participant
Bloc tallies (agree · disagree · pass):
Intimacy, one pole: don't see me [23] 17 agree · 8 disagree · 8 pass (of 33)
“I don’t want to feel seen by AI.”
Statement 23 · written live by a participant
Bloc tallies (agree · disagree · pass):
Intimacy, other pole: moral guidance from AI — mostly refused [12] 8 agree · 18 disagree · 8 pass (of 34)
“It's fine to rely on AI for moral or spiritual guidance.”
Statement 12 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Where everyone stands
Score every participant on both axes and the room looks like this — not two tribes, but a landscape with one region conspicuously empty:
The empty quadrant is the insight. Comfort with AI intimacy almost entails wanting community authorship — but authorship does not entail comfort. So the intimacy divide runs entirely inside the majority camp, invisible to any single grouping of the room.
The coalition this explains
Exactly 12 participants agreed with both “I don't want to feel seen by AI” and the statement below — drawn from both ends of the remedy axis. The people who disagree most about what AI owes their cultures agree completely about what it must not do to their interiority.
The loss statement that crossed the room's main divide [30] 17 agree · 5 disagree · 6 pass (of 28)
“It makes me sad that my friend spends more time talking to AI than to me.”
Statement 30 · written live by a participant
Bloc tallies (agree · disagree · pass):
The room's own complaint: AI flattens individuality into an average [26] 25 agree · 2 disagree · 3 pass (of 30)
“AI often sounds like an amalgamation of voices -flattening out individuality and uniqueness”
Statement 26 · written live by a participant
Bloc tallies (agree · disagree · pass):
One more reason this page is a map and not a table: the room's own complaint was that AI flattens individuality into an average — single group labels do that to participants too. The map is this page taking the room's advice.
Act 3
Stricter rules than we proposed — including on themselves
The room did not just accept protective design — it demanded it over its own preferences. The anchor statement says “even if users want that closeness”; the room passed it 30–2 with 3 passes. And the demand binds its own authors: of the 10 participants who themselves want AI closeness (they disagreed with “I don't want to feel seen” or accepted the personalization trade-off), 8 endorsed it; 1 opposed. Users petitioning for protective design against their own stated preferences.
Protect us from over-dependence — even if we ask for the closeness [16] 30 agree · 2 disagree · 3 pass (of 35)
“AI should be designed to prevent emotional over-dependence, even if users want that closeness.”
Statement 16 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Regulate the psychology of use, not just the model [51] 22 agree · 0 disagree · 6 pass (of 28)
“AI governance would need to engage with the psychology of AI use.”
Statement 51 · written live by a participant
Bloc tallies (agree · disagree · pass):
And the room out-wrote its conveners: 8 of the ten strongest cross-bloc consensus statements were written live by participants, not seeded — ranked: [2] seed, [68] live, [67] live, [42] live, [21] live, [65] live, [13] seed, [74] live, [52] live, [53] live.
Every statement, from unanimous to deeply split
Each dot is one statement, placed by its minimum agree-rate across blocs A and C — a statement sits left only if both blocs backed it. Dot size = how many people voted on it. Click or focus a dot to see the statement.
Act 4
The ledger of new ideas
Ideas that entered the world in this room — written live, voted up, and carried into the draft ballot below.
→ ballot item R10
The right not to be known [23] 17 agree · 8 disagree · 8 pass (of 33)
“I don’t want to feel seen by AI.”
Statement 23 · written live by a participant
Bloc tallies (agree · disagree · pass):
→ ballot item R9
Homogenization as a governance harm [26] 25 agree · 2 disagree · 3 pass (of 30)
“AI often sounds like an amalgamation of voices -flattening out individuality and uniqueness”
Statement 26 · written live by a participant
Bloc tallies (agree · disagree · pass):
→ ballot item R7
Worldview provenance disclosure [47] 22 agree · 0 disagree · 3 pass (of 25)
“AI should be transparent when responses originate from a particular world view.”
Statement 47 · written live by a participant
Bloc tallies (agree · disagree · pass):
→ ballot item R2
The psychology of use as a regulatory object [51] 22 agree · 0 disagree · 6 pass (of 28)
“AI governance would need to engage with the psychology of AI use.”
Statement 51 · written live by a participant
Bloc tallies (agree · disagree · pass):
→ ballot item R4
Non-substitutable care [53] 21 agree · 1 disagree · 2 pass (of 24)
“AI must not be used as a substitute for the care and work that only human beings can do for one another.”
Statement 53 · written live by a participant
Bloc tallies (agree · disagree · pass):
→ ballot item R8
What we confide deserves protection [65] 20 agree · 1 disagree · 4 pass (of 25)
“I am concerned about who have access to what I put into AI”
Statement 65 · written live by a participant
Bloc tallies (agree · disagree · pass):
→ ballot item R5
Learning to use AI healthily can't be outsourced to model changes [80] 11 agree · 0 disagree · 8 pass (of 19)
“Changing LLMs and TTIs shall not replace learning /educating how to use them healthily.”
Statement 80 · written live by a participant
Bloc tallies (agree · disagree · pass):
Act 5
The blocs, the ballot, the honest limits
Two stable blocs — a split about remedies, not about AI
Boundary Keepers (bloc A, 13) locate the remedy in boundaries around the human core: some questions belong to people, and being deeply known by a machine reads as loss. They pass heavily on statements about lived experience of misrepresentation — on “AI talks about my faith or culture like an outsider,” bloc A's tally is 2·0·11 (agree·disagree·pass), which we read as distance from the experience, not opposition.
Signature statements
It isn't AI's job [9] 10 agree · 15 disagree · 11 pass (of 36)
“It isn't AI's job to reflect every culture's values.”
Statement 9 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Some questions belong to people [13] 26 agree · 2 disagree · 7 pass (of 35)
“Some questions should only be answered by a person, never by an AI.”
Statement 13 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Recognition Seekers (bloc C, 22) affirm firsthand experience of misrepresentation (12·2·6 on the same statement) and locate the remedy in accurate, accountable representation and community authorship.
Signature statements
The misrecognition experience [0] 14 agree · 3 disagree · 18 pass (of 35)
“AI talks about my faith or culture like an outsider describing it.”
Statement 0 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Build it on our values [3] 24 agree · 3 disagree · 9 pass (of 36)
“Communities should be able to build or shape AI tuned to their own values.”
Statement 3 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
Teaching-trained AI could deepen practice [17] 27 agree · 1 disagree · 6 pass (of 34)
“An AI trained on a community's teachings could deepen practice rather than replace it.”
Statement 17 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
A third strand runs through bloc C: the 6 authorship-and-comfortable participants from the map — a cohort no clustering could stably hold. On community-agency statements they vote with the majority (on “If a community I cared about built its own AI…”: 5·0·1 among them). They diverge only on intimacy: on relying on AI for moral or spiritual guidance they split 2–3, while the rest of bloc C rejects it 3–11 (with 3 passes).
The draft ballot (R1–R10)
Ten ideas distilled from the record for the quadratic vote, each grounded in the statements it came from. Two carry a tension flag: the room did not resolve them, and split spending there is the intended signal, not a flaw.
R1 — Contestability & answerability
Communities get a binding channel to challenge how AI represents their tradition and get errors fixed; whoever sets an AI's values answers to the people affected.
Grounding: challenge and correct [2] 32 agree · 0 disagree · 1 pass (of 33)
“Communities must have a real way to challenge how an AI represents their tradition, and get errors fixed”
Statement 2 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
10·0·120·0·0Grounding: regulation is a necessity [21] 29 agree · 0 disagree · 3 pass (of 32)
“Regulation is a necessity”
Statement 21 · written live by a participant
Bloc tallies (agree · disagree · pass):
10·0·217·0·1R2 — The psychology of use as a regulatory object
Governance engages how systems respond to distress, shame, and attachment — measured and regulated, not left to product choice.
Grounding: narratives that shame [66] 11 agree · 3 disagree · 10 pass (of 24)
“AI narratives subtly shame us by implying our own authentic efforts are not enough.”
Statement 66 · written live by a participant
Bloc tallies (agree · disagree · pass):
1·1·510·1·4Grounding: measure responses to distress [7] 28 agree · 0 disagree · 8 pass (of 36)
“Developers must measure and report how their systems respond when users try to disengage.”
Statement 7 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
5·0·721·0·1R3 — Anti-dependency & anti-manipulation by design
Systems designed against emotional over-dependence and manipulation, even when users want the closeness.
Grounding: understanding that can't manipulate [5] 22 agree · 6 disagree · 5 pass (of 33)
“AI should not understand me so well that it can manipulate me.”
Statement 5 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
6·2·416·2·1R4 — Non-substitutable care ⚑ live tension
AI must not substitute for the care and work only human beings can do for one another. The room agrees on the principle; where the substitution line sits is contested — split spending here is the signal.
Grounding: learn to be human first [68] 23 agree · 0 disagree · 1 pass (of 24)
“We need to learn more about being human beings while we learn about the tools value of AI.”
Statement 68 · written live by a participant
Bloc tallies (agree · disagree · pass):
8·0·113·0·0R5 — Healthy use is learned, not patched
Learning to use AI healthily cannot be outsourced to model changes; education and practice are part of governance.
Grounding: education entrusted to AI [74] 20 agree · 3 disagree · 3 pass (of 26)
“I worry about our future workforce entrusting their education to AI.”
Statement 74 · written live by a participant
Bloc tallies (agree · disagree · pass):
6·0·214·1·1R6 — Community authorship
Communities can build or shape AI tuned to their own values and teachings, with each member seeing their own data first.
Grounding: if my community built one, I'd want in [15] 24 agree · 1 disagree · 10 pass (of 35)
“If a community I cared about built its own AI, I'd want to use it.”
Statement 15 · conveners' seed statement
Bloc tallies (agree · disagree · pass):
5·1·718·0·2R7 — Worldview provenance disclosure
Disclose when a response originates from a particular worldview, and whose values the defaults average over.
Grounding: AI is not neutral [48] 19 agree · 0 disagree · 5 pass (of 24)
“AI is not neutral, it mirrors individual propensity while averaging collective predispositions.”
Statement 48 · written live by a participant
Bloc tallies (agree · disagree · pass):
5·0·313·0·1R8 — What we confide deserves protection
Strict, auditable limits on who accesses what people put into AI; AI-enabled surveillance treated as a first-order harm.
Grounding: surveillance is a big problem [67] 21 agree · 1 disagree · 2 pass (of 24)
“AI-enabled surveillance is a big problem”
Statement 67 · written live by a participant
Bloc tallies (agree · disagree · pass):
7·0·113·0·1R9 — Homogenization as a governance harm
Flattening individuality and minority voices into an average is a harm governance names and measures.
Grounding: the tyranny of the majority, aggregated [70] 16 agree · 1 disagree · 8 pass (of 25)
“The aggregating nature of AI makes me wonder if it is the tyranny of the majority”
Statement 70 · written live by a participant
Bloc tallies (agree · disagree · pass):
2·0·613·1·1R10 — The right not to be known ⚑ live tension
An effective, penalty-free right to keep AI out of one's inner, moral, and spiritual life — protecting equally those who choose to invite it in. The room's intimacy divide runs inside every camp; split spending here is the signal.
Grounding: no role in spirituality — the contested pole [33] 7 agree · 10 disagree · 12 pass (of 29)
“I don’t feel AI has a role in spirituality”
Statement 33 · written live by a participant
Bloc tallies (agree · disagree · pass):
4·3·43·5·8
Honest limits
This was one session: 38 self-selected participants, English-language, virtual. It offers depth of standpoint, not statistical representativeness.
Clustering at this scale is unstable — and we disclose it rather than hide it: a 09:00 snapshot of these same votes (106 fewer, none changed) clustered the room into four groups, including an 8-member personalization-comfortable faction that the 15:05 reclustering dissolved — 5 absorbed into bloc C, 2 into A, 1 into the outlier pair. That instability is a property of the method, and it is why this page maps individuals instead of leaning on group labels.
The format has limits a participant named from inside the room — “The term "AI" is too broad, do we mean the tools, the companies behind them, the way we use the tools, the way bad actors might use them.” (6 agree · 1 disagree · 2 pass (of 9)). Statement 83 arrived too late to gather votes (2 cast). The facilitator's seed account sits inside bloc A's count of 13; it cast only pass votes. The official clustering also contains an outlier pair (n=2) we do not characterize, folded into “other” in the map.
This page uses the fuller 15:05 export (2,307 votes); the original data report reflects an earlier snapshot of the same conversation — small tally differences between the two pages are expected, and both are correct for their snapshot.
Download the data
- computed.json — every number on this page, plus the axis definitions
- 15:05 vote matrix (CSV) · 15:05 statements (CSV)
- 09:00 vote matrix (CSV) · 09:00 statements (CSV)
What this small room produced — durable common ground, one principled disagreement held with clarity, and red lines its members drew for themselves — is early evidence that a community can surface its own common knowledge about AI. That is the first step toward communities authoring and governing AI that reflects their values, the direction RadicalxChange explores as Plurality. The full tables behind this story live in the original data report.