As IDEO set out to establish Data Science as a discipline of design, we leveraged the opportunity to understand what those collaborations at the cross-sections of disciplines might look like. It was also a chance to provoke with a point-of-view and engage in a conversation with clients and partners around their own challenges.
We connected across studios and held generative workshops with the wider IDEO community to gather breadth in our thinking. As a result, we set up a set of project briefs, design tools and assembled diverse teams to tackle them.
We rooted the challenges in a human need rather than a technological trait (e.g. "How might we embed our vision, values and beliefs into AI systems to confidently delegate tasks?"). Within that context teams experimented with machine learning & other AI techniques hands-on, leveraging their technical capabilities and curiosity.
This approached helped us focus on creating output meaningful to people while constantly demistifying what AI is capable of, surfacing new exciting opportunities to design with and avoiding the pitfalls of technological hype.