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About

Steve Law

Steve Law

Fundraiser · Engineer · Trustee

I've spent my career as a fundraiser — at the RNLI and Macmillan Cancer Support, working across face-to-face, major donors, and legacies. I originally trained as an engineer, and I still bring a systems-based mindset to the work: mixing the art and science of fundraising to understand what's actually driving results.

I'm also a trustee at Atlantic Pacific, and I've been using AI extensively to figure out what genuinely works. PurposeKit is my way of experimenting in the open — building tools that might help charities while being honest about the limits. It's a changing time, and I want the sector to make the most of AI while understanding the risks well enough to push back when it matters.

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On using AI

I care about using this technology responsibly. These aren't polished positions — they're live thoughts I'm working through.

🌍ENVIRONMENT

Undeniably, AI is bad for the environment — there's no definitive measure of how bad. Two reflections. First, if we're going to use it, how do we offset the negative with positive? In the same way that the fuel burnt in a lifeboat is a net good if we save a life, how can we get enough good out of AI to make it a net good? Second, learning how to use AI in ways that reduce impact — right tools, right scale, right contexts.

🔒DATA

This is a personal project with no guarantees of data privacy or security. Consult your organisation's policies, and never enter anything you wouldn't be comfortable making public. Treat every input as potentially visible.

Part of this work is exploring the changing regulatory and technology landscape — and potentially helping the sector understand and lobby for what it needs from policy.

⚖️BIAS

Bias exists everywhere in the sector, and AI is no exception. There are specific known issues I'm actively working to understand and mitigate — through prompt design, tool choice, and honest evaluation of outputs. New approaches are emerging constantly. I'm always open to discussion on this.

🎯SLOP

AI is generating enormous volumes of noise — generic, hollow content that fills space without adding value. I want PurposeKit to actually be useful: tools that produce outputs worth reading, grounded in real charity context, not outputs that look right but say nothing.

Have thoughts? Spot something I got wrong? I'm genuinely interested in feedback — good and critical.

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