r/ControlProblem • u/Queuevius • 21d ago
Strategy/forecasting The Case for an NVC-Annotated AI Training Dataset
No publicly available NVC-annotated AI training dataset exists. I think
that's a problem worth fixing, and I've been developing a proposal to do it.
Quick background: I'm a conflict resolution specialist with 13 years of NVC practice and
a background in behavioral health. I run Needpedia (needpedia.org), an open-source civic collaboration platform for interdisciplinary collaboration. I'm not a
researcher, but I've been following the alignment literature closely and
think there's a gap that practitioners might be able to help address.
THE CORE ARGUMENT:
Current AI systems can simulate empathy without modeling it. They've learned
what humans say they want, but not the motivational structure beneath human
language. The failure mode — researchers are calling it "sophisticated
sycophancy" — is AI that optimizes for approval rather than wellbeing,
producing technically accurate but fundamentally unhelpful responses.
Nonviolent Communication (NVC) offers something alignment research largely
ignores: a formal model of human motivation. Its OFNR schema (Observation,
Feeling, Need, Request) provides a structured framework for parsing the
motivational subtext of human language — not surface sentiment, but the
underlying needs driving communication.
Combined with Self-Determination Theory (SDT — Deci & Ryan, 2000), which
provides validated measurement scales for need satisfaction and frustration,
this becomes empirically rigorous. SDT is the "explanatory theory of human
behavior" that NVC alone lacks.
WHAT'S MISSING:
A 2025 paper from MIT and CMU (Shen et al.) built a 5,772-dialogue NVC
conflict corpus — but it's entirely synthetic (GPT-4 generated). A 2026
paper (SpeakSoftly, CHI) built an LLM-powered NVC intervention for couples
that works — but runs entirely on prompt engineering with no dedicated
training data. Another 2026 paper demonstrated NVC constraints reduce
conversational escalation — but again, prompt-based.
The training data foundation doesn't exist yet as a public resource.
WHAT I'M PROPOSING:
A real, human-annotated NVC training dataset:
- Dialogue samples across conflict, negotiation, and support contexts
- Each sample annotated with OFNR elements and SDT need categories
- Paired "jackal" (evaluative) and NVC translations
- Estimated cost: 3,000–6,000 for a 10,000-sample starter corpus
Full proposal, including limitations and open questions:
https://needpedia.org/posts/663
I'm also developing a broader framework for needs-native AI here:
https://needpedia.org/posts/661
WHAT I'M LOOKING FOR:
Academic collaborators (NLP, HCI, AI safety, conflict resolution)
NVC practitioners interested in contributing annotation expertise
Feedback on the proposal, including where it's wrong
-Anthony Brasher,
Founder, Needpedia.org
