Program Overview The Machine Learning Safety Scholars program is a paid, 9-week summer program designed to help undergraduate students gain skills in machine learning with the aim of using those skills for empirical AI safety research in the future. Apply for the program here by May 31st. The course will...
TL;DR—We’re distributing $20k in total as prizes for submissions that make effective arguments for the importance of AI safety. The goal is to generate short-form content for outreach to policymakers, management at tech companies, and ML researchers. This competition will be followed by another competition in around a month that...
The Machine Learning Safety Scholars program is a paid, 9-week summer program designed to help undergraduate students gain skills in machine learning with the aim of using those skills for empirical AI safety research in the future. Apply for the program here by May 31st.
The course will have three main parts:
The first two sections are based on public materials, and we plan to make the ML safety course publicly available soon as well. The purpose of this program... (read 734 more words →)
Thanks for the idea, Jacob. Not speaking on behalf of the group here - but my first thought is that enforcing symmetry on discussion probably isn't a condition for good epistemics, especially since the distribution of this community's opinions is skewed. I think I'd be more worried if particular arguments that were misleading went unchallenged, but we'll be vetting submissions as they come in, and I'd also encourage anyone who has concerns with a given submission to talk with the author and/or us. My second thought is that we're planning a number of practical outreach projects that will make use of the arguments generated here - we're not trying to host an... (read more)
Hey John, thank you for your feedback. As per the post, we’re not accepting misleading arguments. We’re looking for the subset of sound arguments that are also effective.
We’re happy to consider concrete suggestions which would help this competition reduce x-risk.
TL;DR—We’re distributing $20k in total as prizes for submissions that make effective arguments for the importance of AI safety. The goal is to generate short-form content for outreach to policymakers, management at tech companies, and ML researchers. This competition will be followed by another competition in around a month that focuses on long-form content.
This competition is for short-form arguments for the importance of AI safety. For the competition for distillations of posts, papers, and research agendas, see the Distillation Contest.
Objectives of the arguments
To mitigate AI risk, it’s essential that we convince relevant stakeholders sooner rather than later. To this end, we are initiating a pair of competitions to build effective arguments for a... (read 851 more words →)