Reducing long-term risks from malevolent actors

David Althaus, Tobias Baumann

Summary

  • Dictators who exhibited highly narcissistic, psychopathic, or sadistic traits were involved in some of the greatest catastrophes in human history.
  •  Malevolent individuals in positions of power could negatively affect humanity’s long-term trajectory by, for example, exacerbating international conflict or other broad risk factors.
  • Malevolent humans with access to advanced technology—such as whole brain emulation or other forms of transformative AI—could cause serious existential risks and suffering risks.
  • We therefore consider interventions to reduce the expected influence of malevolent humans on the long-term future.
  • The development of manipulation-proof measures of malevolence seems valuable, since they could be used to screen for malevolent humans in high-impact settings, such as heads of government or CEOs.
  • We also explore possible future technologies that may offer unprecedented leverage to mitigate against malevolent traits.
  • Selecting against psychopathic and sadistic tendencies in genetically enhanced, highly intelligent humans might be particularly important. However, risks of unintended negative consequences must be handled with extreme caution.
  • We argue that further work on reducing malevolence would be valuable from many moral perspectives and constitutes a promising focus area for longtermist EAs.

Full article

Cite this
@online{Althaus2020,

title = {Reducing long-term risks from malevolent actors},

author = {David Althaus and Tobias Baumann},

url = {https://longtermrisk.org/research/reducing-long-term-risks-from-malevolent-actors/, Summary

/media/Reducing_long_term_risks_from_malevolent_actors.pdf, PDF

https://forum.effectivealtruism.org/posts/LpkXtFXdsRd4rG8Kb/reducing-long-term-risks-from-malevolent-actors, EA Forum post},

year  = {2020},

date = {2020-04-29},

urldate = {2020-04-29},

howpublished = {Effective Altruism Forum},

keywords = {},

pubstate = {published},

tppubtype = {online}

}