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This paper explores the tension between openness and prudence in AI research, evident in two core principles of the Montr\'eal Declaration for Responsible AI.
Ovadya, A. and Whittlestone, J. (2019) · 1907
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The dual-use dilemma for the life sciences: perspectives, conundrums, and global solutions
Atlas, R. M. and Dando, M. (2006) · 2006
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The purpose, composition, and function of an institutional review board: balancing priorities
Enfield, K. B. and Truwit, J. D. (2008) · 2008
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The CERT guide to coordinated vulnerability disclosure
Householder, A. D., Wassermann, G., Manion, A., and King, C. (2017) · 2017
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The malicious use of artificial intelligence: Forecasting, prevention, and mitigation
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., et al. (2018) · 2018
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Statement on Nature Machine Intelligence
Dietterich, T. (2018) · 2018
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Information Sharing and Analysis Centres (ISACs): Cooperative models
European Union Agency for Network and Information Security (2018) · 2018
Cited alongside, same era.
Montréal Declaration For A Responsible Development of Artificial Intelligence
Montréal Declaration on Responsible AI (2018) · 2018
Cited alongside, same era.
The Network and Distributed System Security 2018 Call for Papers
NDSS (2018) · 2018
Cited alongside, same era.
Perspectives on Issues in AI Governance
Google (2019) · 2019
Cited alongside, same era.
When Is It Appropriate to Publish High-Stakes AI Research?
Leibowicz, C., Adler, S., and Eckersley, P. (2019) · 2019
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OpenAI Trains Language Model, Mass Hysteria Ensues
Lipton, Z. C. (2019) · 2019
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Better Language Models and Their Implications
Radford, A., Wu, J., Amodei, D., Amodei, D., Clark, J., Brundage, M., and Sutskever, I. (2019) · 2019
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Ethical and societal implications of algorithms, data and artificial intelligence: a roadmap for research
Whittlestone, J., Nyrup, R., Alexandrova, A., Dihal, K., and Cave, S. (2019) · 2019
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