Bryan’s Blog

Self-Disruption is the New Normal

I recently asked myself: “Am I surprised at the completely different speeds AI is being adopted today?” And my answer did not come easily. I landed on “No”. For context, I was not surprised a year ago about the different speeds. However, as of today I continue to come across organisations that are not adopting

Loopy Humans in the Loop

Can the humans in the loop be trusted? How often are you hearing lately “We’ll always keep a human in the loop”? This is recognition that AI can’t be blindly trusted, even when it is a narrow use case, as your AI model can still change if the operating environment changes. But can we trust

Risk Assessing AI

While many of the risks associated with AI are now better understood, some organisations continue to experience undesirable outcomes with their integration. Take this little doozy involving Microsoft 365’s Copilot, which resulted in widespread breach of users’ privacy protections. Which brings me to ask, ‘How are you assessing the risk associated with the implementation of

There Are Hard Choices to Be Made With AI

The hardest choices are often the ones where the options are not clearly better or worse than each other. American philosopher Ruth Chang calls these choices “on par”. Her point is not that logic goes out the window. It is that even after you have done the analysis, there can still be a judgment call

The Hidden Risk in AI Deployment

I first wrote about hidden risks in strategy execution in my 2017 blog, Essence of Decision and the Cuban Missile Crisis, from which I drew the following lessons: Organisations have a creed that motivates their people – think Nike’s ‘Just do it!’. The picture at the top of an organisation is distorted by the way