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Andrew Critch

Aligning AI With Shared Human Values
2020 · Hendrycks, Dan, Burns, Collin, et al. · arXiv (Cornell University) · 93
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Alignment for Advanced Machine Learning Systems
2020 · Jessica Taylor, Eliezer Yudkowsky, et al. · 59
Large language models in oncology: a review
2025 · David Chen, Rod Parsa, et al. · BMJ Oncology · 46
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A note on the proportionality between some consistency indices in the AHP
2013 · Matteo Brunelli, Andrew Critch, et al. · Applied Mathematics and Computation · 38
AI Research Considerations for Human Existential Safety (ARCHES)
2020 · Critch, Andrew, Krueger, David · arXiv (Cornell University) · 25
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Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
2020 · Dennis, Michael, Jaques, Natasha, et al. · arXiv (Cornell University) · 22
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Algebraic Geometry of Matrix Product States
2014 · Andrew Critch · Symmetry Integrability and Geometry Methods and Applications · 21
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TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI
2023 · Critch, Andrew, Russell, Stuart · arXiv (Cornell University) · 13
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Logical Induction
2016 · Garrabrant, Scott, Benson-Tilsen, Tsvi, et al. · arXiv (Cornell University) · 10
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Neural Networks are Surprisingly Modular
2020 · Daniel Filan, Shlomi Hod, et al. · arXiv (Cornell University) · 8
A Formal Approach to the Problem of Logical Non-Omniscience
2017 · Scott Garrabrant, Tsvi Benson-Tilsen, et al. · Electronic Proceedings in Theoretical Computer Science · 8
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Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online
2024 · Adler, Steven, Hitzig, Zoë, et al. · arXiv (Cornell University) · 7
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Human irrationality: both bad and good for reward inference
2021 · Chan, Lawrence, Critch, Andrew, et al. · arXiv (Cornell University) · 7
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The MAGICAL Benchmark for Robust Imitation
2020 · Toyer, Sam, Shah, Rohin, et al. · arXiv (Cornell University) · 6
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A Parametric, Resource-bounded Generalization of Löb’s Theorem, and a Robust Cooperation Criterion for Open-source Game Theory
2019 · ANDREW CRITCH · Journal of Symbolic Logic · 6
Toward negotiable reinforcement learning: shifting priorities in Pareto optimal sequential decision-making
2017 · Critch, Andrew · arXiv (Cornell University) · 6
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Algebraic Geometry of Hidden Markov and Related Models
2013 · Andrew Critch · eScholarship (California Digital Library) · 6
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Detecting Modularity in Deep Neural Networks.
2021 · Shlomi Hod, Stephen T. Casper, et al. · arXiv (Cornell University) · 5
Clusterability in Neural Networks
2021 · Filan, Daniel, Casper, Stephen, et al. · arXiv (Cornell University) · 5
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Inconsistency evaluation in pairwise comparison using norm-based distances
2020 · Michele Fedrizzi, Nino Civolani, et al. · Decisions in Economics and Finance · 5
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Multi-Principal Assistance Games: Definition and Collegial Mechanisms
2020 · Fickinger, Arnaud, Zhuang, Simon, et al. · arXiv (Cornell University) · 4
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Pruned Neural Networks are Surprisingly Modular
2020 · Filan, Daniel, Hod, Shlomi, et al. · arXiv (Cornell University) · 4
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Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making
2018 · Nishant Desai, Andrew Critch, et al. · neural information processing systems · 4
Parametric Bounded Löb's Theorem and Robust Cooperation of Bounded Agents
2016 · Critch, Andrew · arXiv (Cornell University) · 3
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Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory
2022 · Critch, Andrew, Dennis, Michael, et al. · arXiv (Cornell University) · 2
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Works count: 38
Citation count: 421
H-index: 9
I10-index: 9
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