Suffering risks

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Scope-severity grid from Bostrom's paper "Existential Risk Prevention as Global Priority" X-risk-chart-en-01a.svg
Scope–severity grid from Bostrom's paper "Existential Risk Prevention as Global Priority"

Suffering risks, or s-risks, are risks involving an astronomical amount of suffering; much more than all of the suffering that has occurred on Earth thus far. [2] [3] They are sometimes categorized as a subclass of existential risks. [4]

Contents

Sources of possible s-risks include embodied artificial intelligence [5] and superintelligence, [6] as well as space colonization, which could potentially lead to "constant and catastrophic wars" [7] and an immense increase in wild animal suffering by introducing wild animals, who "generally lead short, miserable lives full of sometimes the most brutal suffering", to other planets, either intentionally or inadvertently. [8]

Steven Umbrello, an AI ethics researcher, has warned that biological computing may make system design more prone to s-risks. [5]

Induced amnesia has been proposed as a way to mitigate s-risks in locked-in conscious AI and certain AI-adjacent biological systems like brain organoids. [9]

David Pearce has argued that genetic engineering is a potential s-risk. Pearce argues that while technological mastery over the pleasure-pain axis and solving the hard problem of consciousness could lead to the potential eradication of suffering, it could also potentially increase the level of contrast in the hedonic range that sentient beings could experience. He argues that these technologies might make it feasible to create "hyperpain" or "dolorium" that experience levels of suffering beyond the human range. He also argues that there are other potential S-risks that are more exotic, such as those posed by the many-worlds interpretation of quantum mechanics. [10]

See also

Related Research Articles

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<span class="mw-page-title-main">Nick Bostrom</span> Philosopher and writer (born 1973)

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<span class="mw-page-title-main">AI takeover</span> Hypothetical outcome of artificial intelligence

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<span class="mw-page-title-main">Human extinction</span> Hypothetical end of the human species

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<span class="mw-page-title-main">Seth Baum</span> American researcher

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<i>Human Compatible</i> 2019 book by Stuart J. Russell

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<span class="mw-page-title-main">Longtermism</span> Philosophical view which prioritises the long-term future

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Existential risk studies (ERS) is a field of studies focused on the definition and theorization of "existential risks", its ethical implications and the related strategies of long-term survival. Existential risks are diversely defined as global kinds of calamity that have the potential of inducing the extinction of intelligent earthling life, such as humans, or, at least, a severe limitation of their capacity. The field development and expansion can be divided in waves according to its conceptual changes as well as its evolving relationship with related fields and theories, such as futures studies, disaster studies, AI safety, effective altruism and longtermism.

References

  1. Bostrom, Nick (2013). "Existential Risk Prevention as Global Priority" (PDF). Global Policy. 4 (1): 15–3. doi:10.1111/1758-5899.12002. Archived (PDF) from the original on 2014-07-14. Retrieved 2024-02-12 via Existential Risk.
  2. Daniel, Max (2017-06-20). "S-risks: Why they are the worst existential risks, and how to prevent them (EAG Boston 2017)". Center on Long-Term Risk. Archived from the original on 2023-10-08. Retrieved 2023-09-14.
  3. Hilton, Benjamin (September 2022). "'S-risks'". 80,000 Hours. Archived from the original on 2024-05-09. Retrieved 2023-09-14.
  4. Baumann, Tobias (2017). "S-risk FAQ". Center for Reducing Suffering. Archived from the original on 2023-07-09. Retrieved 2023-09-14.
  5. 1 2 Umbrello, Steven; Sorgner, Stefan Lorenz (June 2019). "Nonconscious Cognitive Suffering: Considering Suffering Risks of Embodied Artificial Intelligence". Philosophies. 4 (2): 24. doi: 10.3390/philosophies4020024 . hdl: 2318/1702133 .
  6. Sotala, Kaj; Gloor, Lukas (2017-12-27). "Superintelligence As a Cause or Cure For Risks of Astronomical Suffering". Informatica. 41 (4). ISSN   1854-3871. Archived from the original on 2021-04-16. Retrieved 2021-02-10.
  7. Torres, Phil (2018-06-01). "Space colonization and suffering risks: Reassessing the "maxipok rule"". Futures. 100: 74–85. doi:10.1016/j.futures.2018.04.008. ISSN   0016-3287. S2CID   149794325. Archived from the original on 2019-04-29. Retrieved 2021-02-10.
  8. Kovic, Marko (2021-02-01). "Risks of space colonization". Futures. 126: 102638. doi:10.1016/j.futures.2020.102638. ISSN   0016-3287. S2CID   230597480.
  9. Tkachenko, Yegor (2024). "Position: Enforced Amnesia as a Way to Mitigate the Potential Risk of Silent Suffering in the Conscious AI". Proceedings of the 41st International Conference on Machine Learning. PMLR. Retrieved 2024-06-11.
  10. "Quora Answers by David Pearce (2015 - 2024) : Transhumanism with a human face".

Further reading