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2020 – today
- 2024
[i7]David Manheim, Sammy Martin, Mark Bailey, Mikhail Samin, Ross Greutzmacher:
The Necessity of AI Audit Standards Boards. CoRR abs/2404.13060 (2024)- 2023
- [j3]David Manheim
:
Building less-flawed metrics: Understanding and creating better measurement and incentive systems. Patterns 4(10): 100842 (2023) - 2022
- [i6]Issa Rice, David Manheim:
Arguments about Highly Reliable Agent Designs as a Useful Path to Artificial Intelligence Safety. CoRR abs/2201.02950 (2022) - [i5]Sam Clarke, Ben Cottier, Aryeh Englander, Daniel Eth, David Manheim, Samuel Dylan Martin, Issa Rice:
Modeling Transformative AI Risks (MTAIR) Project - Summary Report. CoRR abs/2206.09360 (2022) - 2021
- [j2]Simone Sturniolo, William Waites, Tim Colbourn, David Manheim, Jasmina Panovska-Griffiths:
Testing, tracing and isolation in compartmental models. PLoS Comput. Biol. 17(3) (2021) - 2020
- [i4]Ross Gruetzemacher, Florian Dorner, Niko Bernaola-Alvarez, Charlie Giattino, David Manheim:
Forecasting AI Progress: A Research Agenda. CoRR abs/2008.01848 (2020)
2010 – 2019
- 2019
- [j1]David Manheim:
Multiparty Dynamics and Failure Modes for Machine Learning and Artificial Intelligence. Big Data Cogn. Comput. 3(2): 21 (2019) - 2018
- [i3]David Manheim, Scott Garrabrant:
Categorizing Variants of Goodhart's Law. CoRR abs/1803.04585 (2018) - [i2]David Manheim:
Overoptimization Failures and Specification Gaming in Multi-agent Systems. CoRR abs/1810.10862 (2018) - [i1]David Manheim:
Oversight of Unsafe Systems via Dynamic Safety Envelopes. CoRR abs/1811.09246 (2018) - 2015
- [c1]Paul K. Davis, David Manheim, Walter L. Perry, John Hollywood:
Using causal models in heterogeneous information fusion to detect terrorists. WSC 2015: 2586-2597
Coauthor Index
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