AI regulation is essential to balance innovation and risk. AI is too disruptive and represents too much unknown not to develop under a reasonable degree of human oversight.

I wrote an article exploring parallels between technology regulation and human behavior, using driving as a metaphor to illustrate enforcement, compliance, and variance in adherence to rules. Fun stuff, I promise.

Design Operations is both a steward and a driver of innovation. Its dual nature has served it well in organizations of varying size and shape, driving outcomes by getting the right people in the right place at the right time…for the right amount of time.

I attended the Autonomous Innovation Summit this week and drank from a nerdy firehose. I took in many presentations that cited multiple sources, so I don’t have direct attributions, but I have Statistics, Takeaways, Guidelines, Provocations, and Observations to share

DiMitri Higginbotham and I finish our short series on design thinking with this post-- in which we propose that not all design thinking solutions have to break the mold to be successful.

Design can’t solve every problem. If the problem statement is written incorrectly, we have to re-frame it, otherwise we address symptoms and not root causes of issues. But apply Design Thinking to the wrong type of problem, one that also lacks definition, and you have marginal chances of success. Learn why and what we can do about it.

Performative Empathy is somehow worse than not feeling anything at all. The theatre of Empathy for Empathy’s sake is disturbing, and the hand-waving around the topic has eroded design thinking. We can do better—understand how.

Words matter. They create both conscious and unconscious biases. We need to take a critical view on the perspective that having a bias towards action consistently drives positive outcomes.

We believe Design Thinking can benefit from true iteration. It’s time the industry and its practitioners started eating their own dogfood and going light on the dogma.