Entries by Ross Dawson

Framework: Levels of AI delegation in decision-making

Soon virtually every decision will involve AI. For every decision we make, the critical first step is to determine the level of AI delegation. And then select the specific Humans + AI architecture most appropriate to the decision. This framework is the latest iteration of the AI decision-making delegation frameworks I’ve been developing and using […]

Framework: Humans + AI in institutional investment portfolio decision-making

The primary application of my Humans + AI work over the last 18 months has been in strategic decision-making, working with boards and executive teams to augment their decision-making processes and outcomes using generative AI. The other major Humans + AI application I’ve been working on is in institutional investment decision-making. I am currently shifting […]

Humans + AI forecasting far outperforms either alone: 6 lessons learned

Since well before the advent of Generative AI,  machine learning models exceeded human forecasting performance across a whole range of specific domains. Within a bounded domain with sufficient data, machine learning is often extremely good at predicting outcomes. However, machine learning can only work within defined domains where there is sufficient data. In most real […]

Applying Chain-of-Thought to AI-enhanced human thinking

Among the most important recent innovations for improving the value and reliability of Large Language Models are Chain-of-Thought and its derivatives including Tree-of-Thought and Graph-of-Thought.  These structures are also extremely valuable in designing effective Humans + AI workflows for better thinking. In this article I’ll provide a high-level view of Chain-of-Thought and then look at […]

The long quest for news discovery apps that don’t suck

Artifact, the news discovery app launched a year ago by the founders of Instagram, has just announced it is shutting down, saying “the market opportunity isn’t big enough to warrant continued investment in this way.” As pointed out in TechCrunch, Artifact “hadn’t quite defined what it wanted to be”, iterating from its initial personalized news discovery […]