Sean S O hEigeartaigh
Sean S O hEigeartaigh
Centre for the Study of Existential Risk, University of Cambridge
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Cited by
Cited by
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation
M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ...
arXiv preprint arXiv:1802.07228, 2018
Evolutionary erosion of yeast sex chromosomes by mating-type switching accidents
JL Gordon, D Armisén, E Proux-Wéra, SS ÓhÉigeartaigh, KP Byrne, ...
Proceedings of the National Academy of Sciences 108 (50), 20024-20029, 2011
Comparative Genome Analysis and Gene Finding in Candida Species Using CGOB
SL Maguire, SS OhÉigeartaigh, KP Byrne, MS Schröder, P O’Gaora, ...
Molecular biology and evolution 30 (6), 1281-1291, 2013
The errors, insights and lessons of famous AI predictions – and what they mean for the future
S Armstrong, K Sotola, SS Ó hÉigeartaigh
Journal of Experimental & Theoretical Artificial Intelligence, 2014
An AI race for strategic advantage: rhetoric and risks
S Cave, SS ÓhÉigeartaigh
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 36-40, 2018
Clade-and species-specific features of genome evolution in the Saccharomycetaceae
KH Wolfe, D Armisén, E Proux-Wera, SS OhEigeartaigh, H Azam, ...
FEMS yeast research 15 (5), 2015
Point of View: A transatlantic perspective on 20 emerging issues in biological engineering
BC Wintle, CR Boehm, C Rhodes, JC Molloy, P Millett, L Adam, ...
Elife 6, e30247, 2017
Classifying global catastrophic risks
S Avin, BC Wintle, J Weitzdörfer, SS Ó hÉigeartaigh, WJ Sutherland, ...
Futures 102, 20-26, 2018
Bridging near-and long-term concerns about AI
S Cave, SS ÓhÉigeartaigh
Nature Machine Intelligence 1 (1), 5-6, 2019
Systematic discovery of unannotated genes in 11 yeast species using a database of orthologous genomic segments
SS ÓhÉigeartaigh, D Armisén, KP Byrne, KH Wolfe
BMC genomics 12 (1), 377, 2011
The facets of artificial intelligence: a framework to track the evolution of AI
F Martınez-Plumed, BS Loe, P Flach, S O hEigeartaigh, K Vold, ...
International Joint Conferences on Artificial Intelligence, 5180-5187, 2018
Mapping intelligence: Requirements and possibilities
S Bhatnagar, A Alexandrova, S Avin, S Cave, L Cheke, M Crosby, ...
3rd Conference on" Philosophy and Theory of Artificial Intelligence, 117-135, 2017
Toward trustworthy AI development: mechanisms for supporting verifiable claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
Accounting for the neglected dimensions of ai progress
F Martinez-Plumed, S Avin, M Brundage, A Dafoe, SÓ hÉigeartaigh, ...
arXiv preprint arXiv:1806.00610, 2018
Policy brief: Unprecedent technological risks
N Beckstead, N Bostrom, N Bowerman, O Cotton-Barratt, W MacAskill, ...
SearchDOGS bacteria, software that provides automated identification of potentially missed genes in annotated bacterial genomes
SS ÓhÉigeartaigh, D Armisén, KP Byrne, KH Wolfe
Journal of bacteriology 196 (11), 2030-2042, 2014
Surveying Safety-relevant AI characteristics
J Hernández-Orallo, F Martínez-Plumed, S Avin, S ÓhÉigeartaigh
SafeAI@ AAAI, 2019
Working together to face humanity’s greatest threats: Introduction to the Future of Research on Catastrophic and Existential Risk
A Currie, S Ó hÉigeartaigh
Futures, 2018
Accumulating evidence using crowdsourcing and machine learning: A living bibliography about existential risk and global catastrophic risk
GE Shackelford, L Kemp, C Rhodes, L Sundaram, SS ÓhÉigeartaigh, ...
Futures 116, 102508, 2020
Technological Wild cards: existential risk and a changing humanity
SÓ hÉigeartaigh
OpenMind (Online, 2017), 2017
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