All publications - existential risk
Global AI Ethics Documents: What They Reveal About Motivations, Practices, and Policies
2022
Borenstein J., Laas K., Biddle J.B., Schiff D.S. (2022) Global AI Ethics Documents: What They Reveal About Motivations, Practices, and Policies, in International Library of Ethics, Law and Technology 23, 121-143.
Search for the full text: Google | DOIFeeding everyone if the sun is obscured and industry is disabled
2017
Cole D.D., Abdelkhaliq M., Pearce J.M., Denkenberger D.C., Griswold M., Hundley A.B. (2017) Feeding everyone if the sun is obscured and industry is disabled, in International Journal of Disaster Risk Reduction 21, 284-290.
Search for the full text: Google | DOIApocalyptic anxiety: Religion, science and America’s obsession with the end of the world
2016
Becks T., Shakes W. (2016) Apocalyptic anxiety: Religion, science and America’s obsession with the end of the world, in Apocalyptic Anxiety: Religion, Science and America's Obsession with the End of the World [volume not available], 1-252.
Search for the full text: GoogleSystem engineering geology and environmental sustainable development
2011
Liu Y., Deng H. (2011) System engineering geology and environmental sustainable development, in 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings [volume not available], 3619-3623.
Search for the full text: Google | DOIArtificial intelligence and indigenous perspectives: Protecting and empowering intelligent human beings
2020
Maitra S. (2020) Artificial intelligence and indigenous perspectives: Protecting and empowering intelligent human beings, in AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society [volume not available], 320-326.
Search for the full text: Google | DOIBe Very Afraid: The Cultural Response to Terror, Pandemics, Environmental Devastation, Nuclear Annihilation, and Other Threats
2010
Wuthnow R. (2010) Be Very Afraid: The Cultural Response to Terror, Pandemics, Environmental Devastation, Nuclear Annihilation, and Other Threats, in Be Very Afraid: The Cultural Response to Terror, Pandemics, Environmental Devastation, Nuclear Annihilation, and Other Threats [volume not available], 1-304.
Search for the full text: Google | DOIA Tunguska sized airburst destroyed Tall el-Hammam a Middle Bronze Age city in the Jordan Valley near the Dead Sea
2021
Swindel E.C., Mooney C., Howard G.A., West A., LeCompte M.A., Adedeji A.V., Kennett J.P., Silvia P.J., Kletetschka G., Langworthy K., Wittke J.H., Patterson M.C.L., Hermes R.E., Witwer T., Bunch T.E., Batchelor D., Burleigh T.D., Moore C.R., Wolbach W.S., Kathan J., Mitra S. (2021) A Tunguska sized airburst destroyed Tall el-Hammam a Middle Bronze Age city in the Jordan Valley near the Dead Sea, in Scientific Reports 11, [pages not available].
Search for the full text: Google | DOINavigating COVID-19 Pandemic: Empowering Sustainable Supply Chains Performance through Leadership Capability, Knowledge Sharing Capability, and Strategic Management Capability amid COVID-19 Disruptions
2024
Ejaz F., Basit A., Perez J.A.E., Hossain M.B., Javed A. (2024) Navigating COVID-19 Pandemic: Empowering Sustainable Supply Chains Performance through Leadership Capability, Knowledge Sharing Capability, and Strategic Management Capability amid COVID-19 Disruptions, in Cogent Business and Management 11, [pages not available].
Search for the full text: Google | DOITaming Gaia 2.0: Earth system law in the ruptured Anthropocene
2022
Kim R.E. (2022) Taming Gaia 2.0: Earth system law in the ruptured Anthropocene, in Anthropocene Review 9, 411-424.
Search for the full text: Google | DOIThe politics of food scarcities in developing countries
1978
Nicholson N.K., Esseks J.D. (1978) The politics of food scarcities in developing countries, in International Organization 32, 679-719.
Search for the full text: Google | DOIManually-curated Bibliography
Other bibliographies are to be announced for specific x-risks, e.g., artificial intelligence or asteroid impact.
ML Bibliography
Publications predicted to be relevant by our Machine Learning (ML) model, but not yet assessed by humans and thus not yet in the non-ML bibliography