A Roadmap for Robust End-to-End Alignment
September 04, 2018 Β· Declared Dead Β· + Add venue
"No code URL or promise found in abstract"
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Authors
LΓͺ NguyΓͺn Hoang
arXiv ID
1809.01036
Category
cs.AI: Artificial Intelligence
Citations
1
Last Checked
4 months ago
Abstract
This paper discussed the {\it robust alignment} problem, that is, the problem of aligning the goals of algorithms with human preferences. It presented a general roadmap to tackle this issue. Interestingly, this roadmap identifies 5 critical steps, as well as many relevant aspects of these 5 steps. In other words, we have presented a large number of hopefully more tractable subproblems that readers are highly encouraged to tackle. Hopefully, this combination allows to better highlight the most pressing problems, how every expertise can be best used to, and how combining the solutions to subproblems might add up to solve robust alignment.
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