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Crowdsource solutions with generalists that know little about The AI Alignment Problem
attributed to: Adam Radivojevic (inspired by David Epstein, author of Range)
Harvard Medical School healthcare policy researcher Anupam Jena and colleagues examined tens of thousands of people who were admitted to hospital with a heart attack, heart failure, or cardiac arrest between 2002 and 2011.
"Among the most severe cases of cardiac arrest, 70 per cent of those admitted when no cardiology conference was taking place died within 30 days. But among those admitted when expert cardiologists were away at meetings, the corresponding death rate was 60 per cent"
Specialists sometimes fall victim to a type of anchoring bias and cannot see the bigger picture. Generalists who don't know that much about the subject sometimes come up with great solutions, solutions even better than the specialist ones.
My proposal is we outsource the AI alignment problem to such people. For example, platforms such as Wazokucrowd would allow us to easily present our problem to the crowd of problem solvers and get new perspectives.
What part of the alignment problem does this plan aim to solve?
Any part of the alignment problem.
Why has that part of the alignment problem been chosen?
N/A (see the previous line)
How does this plan aim to solve the problem?
This kind of crowdsourcing is very similar to what ai-plans is doing right now, the difference being the prize amount, as well as the target group (everyone here already thought a lot about AI alignment).
What evidence is there that the methods will work?
This method was proven to work many times with similar problems where experts failed to deliver good ideas. For example, Nasa repeatedly posts problems on Wazoku Crows platform: https://www.wazokucrowd.com/showcases/nasa-tournament-lab/
For-profit companies do that as well, as many problems have already been solved this way.
What are the most likely causes of this not working?
Not sure.
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Vulnerabilities & Strengths