Support This Research | PerceptualAlignment.com
Independent Research

Empowering the Future of Human-AI Interaction

Your support fuels independent research into Perceptual Alignment, establishing the essential human reference and safety layer for Voice AI. Together, we ensure AI voices communicate with integrity, clarity, and unwavering human trust, fostering a safer, more authentic digital world.

The aim is to keep developing and sharing research that is publicly accessible, conceptually clear, and useful to others working across voice, perception, alignment, trust, safety and related areas shaping how humans interpret and trust AI systems.

This includes independently developed, single-speaker human voice datasets capturing edge-case perceptual signals in AI interaction.

If the research, public artifacts, or shared language emerging from this work have been useful to you, support helps sustain the ongoing time and costs involved in writing, analysis, hosting, and publication.

Your support is entirely optional, but sincerely appreciated.

THIS WORK IS EARLY - BUT ITS IMPLICATIONS ARE NOT

Ways to Support

Financial contributions help directly, but they are not the only form of support that matters to this research initiative. How you can help today:

01
Financial Support
A direct contribution toward hosting, publication costs, and research time. No amount is too small, and nothing is expected.
Become a Patron
02
Cite the Research
If this work has informed your thinking, citing the archived papers is one of the most meaningful contributions to an independent researcher's visibility and credibility.
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03
Share or Discuss
Pointing colleagues toward this work, including it in reading lists, or mentioning it in relevant conversations all help build the visibility this kind of independent research depends on.
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04
Professional Engagement
Audit engagements, licensing inquiries, and collaboration conversations are welcome. If you're building in voice AI or evaluation, there may be useful overlap.
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Questions About Support

What you might want to know

Straightforward answers about where support goes and how this work sustains itself.

Patronage is optional and can be adjusted or canceled at any time. Contributions are not tax-deductible. This is an independent research initiative, not a registered nonprofit. Per policy, your voluntary support/patronage is not accepted in exchange for any service.
This is independent, self-directed research conducted by Ronda Polhill under the Tonality as Attention™ Research Initiative (rondapolhill.com). There is no institutional affiliation, no grant funding, and no sponsoring organization. The work is driven by direct observational experience in voice-based AI systems and a commitment to making the findings publicly accessible.
Research that is not backed by a university, lab, or company still requires time, tools, and infrastructure. Costs include domain registration and hosting, Zenodo archiving, writing and editing time, design and publication work, and the ongoing labor of developing, refining, and communicating a novel framework without institutional support. Support from readers makes continued public access to this work possible.
Contributions go directly toward the costs of maintaining and developing this research: hosting, domains, publishing infrastructure, and the writing and analysis time that produces the white papers, independently authored and voice-origin controlled datasets, and public documentation. There are no administrative overheads or organizational layers - this is a one-person initiative.
No. This is an independent research initiative, not a registered nonprofit or charitable organization. Contributions are not tax-deductible. They are an expression of support for independent, publicly accessible research in a field where that kind of work is rare.
Yes. The most meaningful forms of support often take non-financial forms: citing the research in your own work, sharing it with colleagues, inviting collaboration, or reaching out about a perceptual alignment audit engagement or licensing inquiry. If you're working in voice AI, evaluation methodology, or alignment research and see potential overlap, a direct conversation is welcome.
Yes. All white papers and the TonalityPrint dataset are publicly archived on Zenodo under open access. The intent is to keep this research accessible regardless of institutional affiliation. Support helps sustain that openness rather than gate it.
You can write to ronda at perceptualalignment dot com. For professional inquiries - audit engagements, licensing, collaboration - you are also welcome to visit rondapolhill.com.

Get in touch

Questions, collaboration inquiries, or professional conversations are welcome. This work exists in part because people have found it useful - hearing how it lands, where it applies, and where it falls short is genuinely valuable.

ronda at perceptualalignment dot com