---
title: "Talk to the City for Nonprofits | AI Tool Check"
description: "Is Talk to the City safe for your nonprofit work? Use-case specific ratings and real nonprofit experiences."
lang: en
json-ld:
---

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[Home](/)[Tools](/tools)Talk to the City 

![Talk to the City logo](/assets/talktothecity-Dt1Beeuu.png)

# Talk to the City

by AI Objectives Institute 

Community Engagement 

Free (Open Source)

Free 

Free (Open Source) Tier Ratings

7Safe • 

2Caution • 

0Risk 

Last Reviewed: 2026-07-14

Fully featured. No paywalls. Open source (Apache-2.0 license). Self-host or use hosted version at talktothe.city. Active development at github.com/AIObjectives/tttc-light-js.

## Quick Take

Open-source AI platform for analyzing large-scale public input while preserving individual voices. Transforms survey responses, interviews, transcripts, or WhatsApp conversations into interactive reports with clustered themes, all grounded in verbatim participant quotes. Default model is gpt-4o-mini (OpenAI API); Anthropic (Claude) has been added as an additional supported provider, with further multi-LLM and local-model support still in progress. Used by governments, unions, and advocacy groups for civic dialogue, public consultations, and stakeholder feedback at scale. Built by a 501(c)(3) nonprofit with funding from Google.org, Future of Life Institute, and others. Privacy policy last updated May 28, 2026. Reports hosted on talktothe.city are currently public by URL (password protection still forthcoming).

## Ratings by Use Case

How safe is this tool for your specific work? (Showing Free (Open Source) tier)

#### Stakeholder Feedback

Safe 

Primary use case. Processes hundreds to thousands of responses while preserving nuance. Used by Taiwan government, unions, advocacy orgs.

#### Community Needs Assessment

Safe 

Excellent for large-scale qualitative input. Young Women's Alliance Australia used T3C to analyze 85 interviews, leading to legislation.

#### Member Polling

Safe 

Healthcare workers union used T3C to poll members for contract negotiations. Captures depth beyond simple polls. A May 2026 Future of Life Institute grant ($206,000) now funds expanded labor union work.

#### Strategic Planning Input

Safe 

Can synthesize diverse stakeholder perspectives for strategic planning. Interactive reports help leadership see themes and drill into specifics.

#### Public Consultation

Safe 

Core strength. Taiwan Ministry of Digital Affairs hosts own instance for national consultations on AI policy, elections, social issues. Also used for the 6th European Rural Parliament in Scotland (2025).

#### Advocacy Campaign Research

Safe 

CMI used T3C in Yemen for youth voices on peacebuilding with 94% response rate across 18 governorates.

#### Coalition Building

Safe with Precautions 

Can help identify shared concerns across diverse groups. Works well when you have substantial input data to analyze.

Safe if  you have substantial input data to analyze (100+ responses) 

#### Policy Development

Safe 

Recursive Public project with Chatham House engaged 1,000+ participants on AI governance, funded by OpenAI Democratic Inputs grant.

#### Program Evaluation

Safe with Precautions 

Can analyze qualitative program feedback at scale. Less suited for quantitative outcome measurement.

Safe if  you're analyzing qualitative feedback, not quantitative outcomes 

## Policy Snapshot

As of 2026-07-14 

Data Training 

Never (OpenAI/Anthropic APIs)

Uses OpenAI API (default: gpt-4o-mini) and now also Anthropic (Claude) as a supported LLM provider; the vendor states it is still working on supporting additional LLMs, including local models. Neither OpenAI nor Anthropic use API-submitted data to train or improve their models under their standard API terms. No training use by T3C itself. Data is also sent to Google Cloud Platform, Posthog (analytics), and Weights & Biases (model monitoring) for processing — none use it for training.

Opt-Out 

Not needed

API data sent to OpenAI or Anthropic is never used for training by default — no opt-out required. For self-hosted deployments, you bring your own API keys and control all data flow entirely.

Human Review 

Never (routine)

No routine human review of your data. All processing is automated via LLMs. Underlying model providers (OpenAI, Anthropic) may retain limited abuse-monitoring logs for policy enforcement purposes, but this is standard API use — no human reviews report content as part of the T3C service itself.

Retention 

User controlled (hosted) / Full control (self-hosted)

Hosted version (talktothe.city): Reports are stored on the platform until deleted by the user. Currently in alpha — reports remain public to anyone with the exact URL as of July 2026 (password protection is planned but not yet implemented). Underlying model providers may retain abuse-monitoring logs for a limited period per their own policies. Self-hosted: You control all data and retention.

Security 

Open source auditable; no formal certifications

No SOC 2, ISO 27001, HIPAA, or FedRAMP certifications. Open-source code (Apache-2.0 license) is fully auditable at github.com/AIObjectives/tttc-light-js. Privacy and Security Policy last updated May 28, 2026. Data processors now explicitly include OpenAI, Anthropic, Google Cloud Platform, Posthog, and Weights & Biases. The vendor states data is not shared, sold, or distributed beyond these processors. GDPR/CCPA rights acknowledged (EU/UK/California users). Age restriction: not for users under 13; 13–16 may require parental consent depending on jurisdiction.

## Key Distinctions

### Genuinely Free and Open Source

No freemium tricks. No paywalls. Built by a 501(c)(3) nonprofit (AI Objectives Institute) with funding from Google.org, Future of Life Institute, and others. All code on GitHub (Apache-2.0 license) at github.com/AIObjectives/tttc-light-js.

### Hallucination Mitigation by Design

Every AI-generated claim links directly to verbatim participant quotes. You can verify any summary against the original statements. This is the core design principle, not an afterthought.

### Proven at Government Scale

Taiwan Ministry of Digital Affairs hosts its own T3C instance for national consultations. Used for AI policy, same-sex marriage debates, election platform analysis. This isn't a startup experiment.

### Specialized Tool, Not General Purpose

T3C does one thing well: analyzing large-scale qualitative input. It's not for daily tasks like writing emails or creating graphics. Best with 100+ responses to analyze.

### Full Audit Trail

Every processing decision is logged: filtering, deduplication, extraction results, timestamps, model versions. If something looks wrong, you can trace exactly what happened.

### WhatsApp Integration

Collect responses via WhatsApp conversations with AI-guided structured dialogue. Dramatically lowers barriers for participation, especially in low-resource contexts (used in Yemen peacebuilding project).

### Growing Multi-LLM Support

Originally built on OpenAI's gpt-4o-mini by default, T3C has now added Anthropic (Claude) as a second supported model provider, with further providers and local-model support in active development.

## Recent Changes

2026-05-28

Privacy and Security Policy updated again (effective May 28, 2026). Anthropic added as a named data processor alongside OpenAI, Google Cloud Platform, Posthog, and Weights & Biases, reflecting expanded multi-LLM support.

2026-05-12

Future of Life Institute awarded AI Objectives Institute a $206,000 grant to support work with labor unions through the Talk to the City platform.

2026-03

Talk to the City 2026 promotional video published by AI Objectives Institute, signaling continued active development and outreach.

2025-09-18

Privacy and Security Policy updated (effective September 18, 2025). Explicitly named data processors: OpenAI, Google Cloud Platform, Posthog, and Weights & Biases (superseded by the May 2026 update adding Anthropic).

2025

6th European Rural Parliament deployment in Inverurie, Scotland, in partnership with CrownShy and Scottish Rural Action.

2025-02

Good Ancestor Foundation milestone recognition: major codebase refactor completed; active development migrated to tttc-light-js GitHub repository (old talk-to-the-city-reports repo being archived).

2025

New hosted platform at talktothe.city with streamlined report creation; default model is gpt-4o-mini; additional LLM providers announced as planned (Anthropic added by May 2026).

2024

Australia Young Women's Alliance study led to legislation passed by New South Wales Legislative Council.

2024

Tokyo gubernatorial election deployment with 1,000 residents, helping independent candidate achieve record vote share.

2024

Yemen deployment by CMI for youth voices on peacebuilding across 18 governorates.

## Bottom Line

For organizations with 5+ staff

Excellent choice for organizations that regularly conduct large-scale stakeholder consultations, public input processes, or membership surveys. The open-source model with no licensing costs means no procurement friction. Dedicated staff can self-host for full data control. Plan for setup time and staff training — this is a specialized analysis tool, not a turnkey survey platform.

For organizations with fewer than 5 staff

Highly accessible via the hosted version at talktothe.city — no installation required. Free with no account limitations. Best when you have a specific consultation project with 100+ responses to analyze. Not a daily-use AI assistant. Note that in the current alpha, hosted reports remain publicly accessible by URL (no password protection yet as of July 2026), so avoid uploading sensitive participant data to the hosted version until this is resolved.

For health data or vulnerable populations

Use with caution. No HIPAA BAA is available. No SOC 2 or formal security certifications. The hosted version currently makes reports public by URL (password protection planned but still not implemented as of July 2026). For projects involving health information, domestic violence survivors, or other sensitive populations, strongly consider self-hosting for full data control, or anonymize all participant data before upload. Do not submit protected health information (PHI) to the hosted platform.

Best for

Advocacy organizations, foundations, membership associations, labor unions, and government agencies that need to gather and analyze large-scale stakeholder input while preserving individual voices. Ideal when you have 100+ responses to analyze and need transparent, auditable AI analysis.

Watch out

Specialized tool — not for daily AI tasks. Best with 100+ responses. No SOC 2, HIPAA BAA, or FedRAMP certification. Uses OpenAI (gpt-4o-mini default) and now also Anthropic APIs; broader multi-LLM and local-model support still in progress. Hosted reports remain public by URL in this alpha phase as of July 2026 (password protection still coming). Additional data processors include Google Cloud Platform, Posthog, and Weights & Biases. Learning curve required. Community support only — no enterprise SLA.

## From the Community

"Back in 2014, it was impossible to interview a mini public of people and aggregate their ideas while preserving the full nuance. But now, with Talk to the City's help, that cost has been reduced to essentially zero. It's broad-listening, and it can change the nature of this recursive public."

Taiwan's 1st Digital Minister

Government • Large

Verified 2025-01-01

"Talk to the City's analysis was crucial in identifying gender-specific challenges... Having the data organized under specific themes, then being able to go through the interviewees' actual statements, was powerful."

Researcher

Advocacy • Small

Verified 2025-01-01

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Y3MxMvRWWh58tpeRjNshqz4/i6OEvKHP/LqKztyjiHNE3hHiV/94AiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIj4E/wDOlro3hu0lHAAAAABJRU5ErkJggg==)

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