Advocacy Intelligence Lab
We build metadata-first tools and accessible practices that keep people at the centre of their stories. AdvocacyAI helps survivors, people with disability, and community organisations create durable, explainable records that AI can use fairly and transparently.
Advocacy Intelligence Lab is an Australian initiative working at the intersection of artificial intelligence, accessibility, and digital rights. Based in Brisbane, the project focuses on ensuring that people—especially those with lived experience of harm or disability—can safely create, control, and use their own digital records.
We are a protocol design lab focused on restoring meaning, nuance, and memory to machine-mediated advocacy. Our work emerges from traditions of narrative sovereignty and semantic resilience—not venture-backed tools. We develop glossaries, governance layers, and research infrastructures for advocates navigating AI-driven environments. Rather than compete with platforms, we define the preconditions for intelligibility beneath them.
We help people record who created a record, why it was made, and how it changed over time. See Strategic Self-Advocacy.
We produce Easy-Read, AAC and Auslan-friendly materials so records are usable by more people.
We create simple, auditable metadata practices and practical toolkits that teach systems to respect authorship and consent.
When systems lose context or authorship, people's stories can be misread, erased or reused without permission. AdvocacyAI guards against that by making authorship, consent and history visible and durable.
We do not build or enable:
The project is designed to benefit:
People with lived experience who need reliable, accessible records that reflect their stories accurately.
Groups working toward systems change who need tools to preserve meaning in digital environments.
Organisations seeking more ethical and transparent AI practices in their work.
This initiative explores how AI can be used responsibly to:
Enhance how records are created, updated, and understood over time—maintaining accuracy and context.
Develop plain-language summaries and inclusive formats that make information accessible to all.
Create practical guidelines for ethical AI use in sensitive contexts and personal records.
Through research, collaboration, and pilot projects, Advocacy Intelligence Lab aims to contribute to a future where AI systems respect human authorship, uphold consent, and strengthen—not diminish—people's voices.
We create semantic infrastructures that help advocacy survive machine reading. Our protocols support message clarity, consent, and political integrity in automated environments.
We build community-led glossaries that guide consistent interpretation across AI systems, platforms, and stakeholders—without flattening meaning.
We test how your advocacy is likely to be parsed by language models—flagging distortion risks, semantic erasure, or misinterpretation.
We publish explainers and frameworks that reveal how digital systems enforce advocacy norms, shaping what can and cannot be said.
Access our toolkits, guides, and framework documents.
A practical guide for recording and protecting authorship in digital advocacy records.
Instructions for ensuring your advocacy survives machine reading without distortion.
Guidelines for creating Easy-Read, AAC and Auslan-friendly materials.
Practical guidelines for ethical AI use in sensitive contexts and personal records.
It refers to tools and practices that let you adapt campaigns based on political context, stakeholder insight, and AI system feedback.
Instructions that help your advocacy survive machine reading without distortion. Think of them as formatting rules for your message's meaning.
We welcome conversations with researchers, practitioners, and aligned actors. Not sure if this space is for you? Reach out—we'll walk you through it gently.