| 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 | 371* | 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 | 105 | 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 | 85 | 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 | 62 | 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 | 50 | 2018 |
| Clade-and species-specific features of genome evolution in the Saccharomycetaceae KH Wolfe, D Armisen, E Proux-Wera, SS OhEigeartaigh, H Azam, ... FEMS yeast research 15 (5), 2015 | 40 | 2015 |
| Classifying global catastrophic risks S Avin, BC Wintle, J Weitzdörfer, SS Ó hÉigeartaigh, WJ Sutherland, ... Futures 102, 20-26, 2018 | 35 | 2018 |
| 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 | 35 | 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 | 31 | 2020 |
| Bridging near-and long-term concerns about AI S Cave, SS ÓhÉigeartaigh Nature Machine Intelligence 1 (1), 5-6, 2019 | 22 | 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), 1-12, 2011 | 20 | 2011 |
| 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 | 18* | 2017 |
| 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 | 15* | 2018 |
| 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 | 12 | 2018 |
| Policy brief: Unprecedent technological risks N Beckstead, N Bostrom, N Bowerman, O Cotton-Barratt, W MacAskill, ... | 12* | 2014 |
| 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 | 8 | 2014 |
| 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 | 7 | 2018 |
| Embrace experimentation in biosecurity governance SW Evans, J Beal, K Berger, DA Bleijs, A Cagnetti, F Ceroni, GL Epstein, ... Science 368 (6487), 138-140, 2020 | 6 | 2020 |
| Surveying Safety-relevant AI characteristics J Hernández-Orallo, F Martínez-Plumed, S Avin, S ÓhÉigeartaigh SafeAI@ AAAI, 2019 | 6 | 2019 |
| 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 | 4 | 2020 |
Kenneth H. WolfeProfessor of Genomic Evolution, University College DublinVerified email at ucd.ie
