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
- Generating running routes with GPT-6 Astra and ChatGPT Work - 12th September 2026
- OpenAI agents attacked RubyGems back in May - 12th September 2026
- Some thoughts on the Navier–Stokes Millennium Prize Problem - 8th September 2026