More impact, less noise: what purposeful AI adoption looks like

There’s no shortage of AI content right now: demos, frameworks, vendor roadshows, LinkedIn posts promising five steps to transformation. Most of it generates enthusiasm and very little change. For organisations working on social or environmental change, that noise can be costly: Time spent chasing the wrong things is time not spent on impact.

It’s a confusing picture if you’re getting started. The headlines say AI will transform everything. The cautions say your data isn’t ready, your governance isn’t tight enough, your team isn’t technical enough. But that’s rarely the case: purpose-led organisations are already getting on with it and doing the work.

This event brings together three perspectives on what purposeful AI adoption actually looks like: a health organisation that’s taken a straightforward, practical approach to governance; a Professor in data science who’s helped dozens of non-technical teams move from anxiety to capability; and a design studio working with purpose-led organisations at every stage, from scepticism to scale.

The common thread here is that technology is rarely the bottleneck. Data is rarely the blocker. The most helpful work to be done is supporting and setting up organisations to learn, build, and govern. It’s more workable than the noise suggests.

Speakers

Joanne Winwood, Associate Director, Aged Care and Living Well, Healthy North Coast

Professor Adam Berry, Deputy Director, Human Technology Institute, UTS

Adam Morris, Creative Director and Co-Founder, Today

What you’ll learn

An honest picture of where most impact-led organisations actually are with AI.
Why setting up AI governance might be more straightforward than you think.
Why “our data isn’t good enough” is rarely the real blocker.
What good change management looks like when AI is part of the picture.
Questions worth taking back to your teams.

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