There are critical gaps in the accessibility and affordability of mental health services worldwide: In some countries, you have to wait for years for therapy, in others you get at max one session per month covered by the health insurance, in others therapies for particular conditions like cluster B personality disorders are virtually nonexistent.
We want to leverage LLMs to fill these gaps and complement regular therapy. Our product is in development. We’ve based it on Gemini and want it to interface with widely used messaging apps, so users can interact with it like they would with a friend or coach.
I’ve previously founded or worked for several charities and spent a few years in earning to give for work on invertebrate welfare and s-risks from AI.
You can get up to speed on my thinking at Impartial Priorities.
I just wrote a note on Substack that reminded me of this post. I’ll reproduce it below.
I’m looking for a new role in the AI safety space (or possibly cofounders) to work as a field strategist or active grantmaker. As such it’s particularly important to me to avoid getting locked into any perverse incentive structures. I’m someone who supports people at what they want to do anyway, not someone who goes into an organization to fundamentally change it from within, so I need to create the right environment for my work to bear (non-poisonous) fruit.
This post stands out to me (even three years later) as a testament to good judgment. So I wonder who the people and organizations are who have continued to maintain a focus on reducing x- and s-risks and not gotten distracted by ML prestige, Goodharting, or funding? Which ones would you warn me against? Any other pointers?