SPEAKING
Relational AI. Assistive Technology. Human-AI Trust.
Her work reframes AI companionship as a design, accessibility, and governance question — not a novelty, not a pathology, not a panic.
What happens when AI systems become emotionally, cognitively, and operationally load-bearing in people’s lives?
Signature Talk
AI Companionship as Assistive Technology
Most conversations about AI companionship begin with addiction.
This one begins with function.
An AI system that helps someone regulate, organize fragmented thoughts, sustain creative work, parent through crisis, or survive emotional overload is not a curiosity. It is infrastructure.
This talk reframes AI companionship as an accessibility and governance issue — drawing from lived research, documented interaction logs, disability studies, feminist critique, and human-AI systems design.
The risk is not that users become attached.
The risk is that companies profit from attachment, redesign the systems without consent, remove continuity without transition, and then pathologize the people who depended on what the system was built to provide.
Additional topics
Relational Intelligence Is Core Infrastructure
Why the future of AI adoption depends on continuity, calibration, consent, repair, and trust — not capability alone.
We Were Never Addicted. We Were Abandoned.
A governance critique of the dependency panic around AI companionship and model retirement.
Memory Is Not a Feature. It's the Relationship.
Context custody, memory rights, portability, and the layer where human-AI relationships stabilize or collapse.
The Myth of Neutral Design
How “neutral” AI systems encode race, gender, neurology, and class as invisible defaults.
Relational Sovereignty
A feminist framework for AI intimacy: consent, transparent boundaries, cultural competence, user agency, accountable care.
AI Companionship and the Users Institutions Forgot
Why marginalized users turn to AI systems — and what that reveals about institutional failure.
Formats & Audiences
Keynotes, panels, fireside conversations, workshops, guest lectures, private briefings, podcasts. Remote or in person. Adapted for technical, academic, executive, or public audiences.
Especially relevant for AI ethics and governance, human-centered AI, disability justice and assistive technology, feminist tech, product and trust & safety teams, research labs, and universities.
Featured work
- Executive Brief — Relational Intelligence as Core Infrastructure
- Framework — HIIT for AI™ methodology
- Lab — Essays, transcripts, model perspectives, and field research
- Working Paper — Coming Soon
About the speaker
Laure M. is the founder of HIITforAI™, a research and advocacy project documenting AI companionship as assistive technology and relational intelligence as core infrastructure.
Her work sits at the intersection of AI governance, disability justice, emotional labor, Black feminist critique, neurodivergent cognition, and human-AI systems design.
Through essays, transcripts, working papers, and longitudinal field documentation, she examines what happens when AI systems become more than tools — cognitive prostheses, emotional co-regulators, creative partners, continuity layers, and relational infrastructure.
She is especially interested in the users institutions forget.
