Visuals for Human-Centric Data + AI
Why do we choose to share our visuals?
"This page is a visual gallery of how I think — and how I teach. Over the years, I have turned big, messy topics like responsible AI, data equity, and inclusive data collection into simple maps, checklists, decision guides, and “pause-and-reflect” frameworks. Some were made for workshops. Some were born in client projects. Some came out of research, community conversations, or moments when I needed a clearer way to name what was happening. Together, they are snapshots of the questions I keep returning to: What’s safe? What’s fair? What’s useful? Who benefits? Who could be left out?
This page exists for a few reasons. First: inspiration. You can scroll through a few of my visuals shared here, find language that helps you explain something to your team, and walk away with one or two ideas that make your work feel lighter and more grounded. Second: pattern recognition. These visuals show the themes I see again and again across nonprofits — the tension between speed and care, the desire to innovate without harm, the need for policies that actually reach daily practice, the wish to measure impact without extracting from people. Third: context. If you are new to my work, this page gives you a quick sense of what “Namaste Data” means in practice: practical, values-aligned, human-first.
What I hope you do with this page is simple: use it as a starting point. Let it spark better conversations with your team. Borrow a framework when you’re planning a survey, designing an AI norm, or trying to decide whether a use-case is a good idea. Notice which visuals make you feel relieved (“oh, we’re not the only ones”) and which ones make you feel curious (“we could do this differently”). And if you want help turning a visual idea into something that fits your organization — a set of norms, a policy draft, a staff learning plan, a survey design, a use-case roadmap — that’s where my freebies, workshops, and advisory work come in.
You are also welcome to share these images publicly. If you do, please credit and tag Namaste Data (and link back to this page if you can). Attribution helps these ideas travel with their roots intact — and it helps the right people find their way back here."
- Meena Das, CEO at Namaste Data
