16th November 2022
These kinds of biases aren’t so much a technical problem as a sociotechnical one; ML models try to approximate biases in their underlying datasets and, for some groups of people, some of these biases are offensive or harmful. That means in the coming years there will be endless political battles about what the ‘correct’ biases are for different models to display (or not display), and we can ultimately expect there to be as many approaches as there are distinct ideologies on the planet. I expect to move into a fractal ecosystem of models, and I expect model providers will ‘shapeshift’ a single model to display different biases depending on the market it is being deployed into. This will be extraordinarily messy.
Recent articles
- My fireside chat about agentic engineering at the Pragmatic Summit - 14th March 2026
- Perhaps not Boring Technology after all - 9th March 2026
- Can coding agents relicense open source through a “clean room” implementation of code? - 5th March 2026