2. AI must reflect our values
We approach AI the same way we approach design: as a collaborative effort grounded in thoughtful exploration and human insight.
We use AI when it deepens understanding, sparks new ideas, or strengthens our ability to solve problems with care and precision. But we won’t use it as a shortcut. We don’t hand over decisions, and we don’t compromise the integrity of the process. AI should expand our perspective, not narrow it.
We recognize that while technology promises speed or scale, it does so at a cost. So, we remain mindful of the energy behind the tools we use and the systems we contribute to. Efficiency only matters if it’s thoughtful. Innovation only matters if it’s responsible.
We’re intentional about how we integrate these tools. We recognize that AI is fallible and harbours biases. So, we test outputs , question them, and remain alert to their blind spots. When something feels unclear, we dig deeper. When something seems efficient, we ask, efficient for whom? We work to ensure our insights remain human-centered and culturally sensitive.
This isn’t about chasing every new feature. It’s about using technology in a way that enhances the experience of everyone involved, from the people we design for to the people we work with.
The result? Design that’s imaginative, informed, and grounded in real-world impact.