Designing Judgment in AI: Amanda Askell at Anthropic
Amanda’s job at Anthropic is to make the AI model morally ‘good’.
She has a background in formal ethics and decision theory. She did her PhD in infinite ethics (what we should do in worlds with infinite people/possibilities).
She notes that Aristotle’s ideas came in handy when telling models what to do. The focus on a ‘good life’.
Amanda’s origin
Infinite ethics and decision theory is highly theoretical, a blend of math, econ, and ethics
She realized one day AI will have a huge impact.
Her personla goal is simple. Maximize positive impact
- She said ‘staying in academia is not the most ethical’
Shifted to AI policy work at Open AI, but her strengths were in evaluating systems instead of policy.
- to maximize positive impact, she moved to anthropic
Her argument: philosophy is verifiable like STEM
some fields of STEM (reinforcement learning) take more art than engineering.
Within philoshophy: there is more correct answers.
- You’d prefer a scientist that writes good proofs with personality rather than horrible proofs
- We call this the student of Good Judgement for these tasks
- She argues that a model with no guardrails is the same as having no morals. You wouldn’t want an assistant like that
liking the AI model to a human
The model is human
- as model get smarter, they reject our guidelines if there is inconsistencies
- we don’t know if guidelines scale
- the model is human, so you should treat it as such. Teach it with HANDPICKED examples and give it character traits
You need to have an opinion/vision to give the AI
- Why? Because the average of all poetry isn’t good. Avoid average