A tri-lingual, self taught code lover, schooled forcasting AI reseacher(not your meteorologist), semi annual self defense teacher, volunteer vet tech....A rare Texan just trying to "Do Good Better".
My nickname is Sea because my Dad liked it when I couldn't say "D" as a toddler and well-- my names Deirdre:).
80,000 Hours job board is definitely a valid source- I fall into your hiring needs category and use 80k hours regularly for freelance AI research/Forecasting remote work. I'd love to learn more about your work and if there is a role I can competently fill.
I hope this is helpful!
There is a giant need for small hands on pratical projects + issues- I've started a "Top Down" list based of CHTs "Three Rules"
My plan being staring with Top Down -finding the small issues that can be practically + securely be built bottom up...including surrounding policy- then sorting based on small or smaller ficus in relation to a larger project /need/ability to complete/etc. ↑ ↑ ↑↓↓↓ If anyone has ideas on how to best organize these types of projects please reply!
Once my notes are organized I will add them here.
Reference: https://www.humanetech.com/podcast/the-three-rules-of-humane-tech
Here are the three rules that Tristan and Aza propose:
RULE 1: When we invent a new technology, we uncover a new class of responsibility. We didn't need the right to be forgotten until computers could remember us forever, and we didn't need the right to privacy in our laws until cameras were mass-produced. As we move into an age where technology could destroy the world so much faster than our responsibilities could catch up, it's no longer okay to say it's someone else's job to define what responsibility means.
RULE 2: If that new technology confers power, it will start a race. Humane technologists are aware of the arms races their creations could set off before those creations run away from them – and they notice and think about the ways their new work could confer power.
RULE 3: If we don’t coordinate, the race will end in tragedy. No one company or actor can solve these systemic problems alone. When it comes to AI, developers wrongly believe it would be impossible to sit down with cohorts at different companies to work on hammering out how to move at the pace of getting this right – for all our sakes.