AI Safety Nudge Competition
The AI Safety Nudge Competition was a community initiative organized by Chris Leong (AI Safety Australia and New Zealand) and implemented by Marc Carauleanu, with support from the Long-Term Future Fund and AI Safety Support. Participants registered a specific AI safety-related goal, completed it by October 31, 2022, and entered a prize draw for one of twelve $100 prizes totaling $1,200. The competition attracted 76 applicants, of whom 31 (over 40%) completed their goals. Participants rated the competition as making goal completion 1.83 times more likely than they would have been otherwise.
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Theory of Change
The competition operates on a behavioral nudge theory: many people in the AI safety ecosystem have goals they intend to pursue but delay due to procrastination. By providing a concrete deadline, pre-registration (which increases commitment), and a lottery-style financial incentive, the initiative attempts to convert intentions into completed actions. The causal chain is: incentivized deadlines reduce procrastination -> more people complete AI safety learning or outreach goals -> the AI safety field gains more informed contributors, advocates, and community members -> improved field capacity contributes to long-term AI safety outcomes.
Grants Received
from Long-Term Future Fund
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Details
- Last Updated
- Mar 20, 2026, 10:00 PM UTC
- Created
- Mar 19, 2026, 10:42 PM UTC