Various people are sceptical of epistemic interventions to reduce power concentration.

Here is a half-hour note sketching out what I think the bull case here is:[1]

  • Base rates suggest this will matter. Historically, control of the information environment has played a significant role in backsliding[2] and coups[3]. So the starting expectation should be that it’s going to be significant

  • There are reasons to update the base rates upwards:       
    • AI will probably significantly raise the ceiling on how good epistemics can get, which should make this a more important lever than historically
    • I think it’s likely that good and bad epistemics will be self-reinforcing, more so with AI than they have been historically. Which should also make this more important than previously
  • ‘Everyone correctly understands their own interests’ effectively blocks several important ways to backslide[4]

    • Makes it hard to get a plebiscitary majority or a legislative majority (unless power concentration is actually in the interests of the majority)

      • Still possible for the executive to be so disproportionately powerful that it can just present things as a fait accompli in spite of unpopularity - but then there’s a question of why people have failed to anticipate this and coordinate against it

      • Still possible for the executive to collude with powerful private actors against the public interest

  • ‘Everyone correctly understands their own interests’ empowers other branches of government to resist power concentration
    • The courts and the legislature are responsive to public opinion
    • E.g. if everyone could see that e.g. a better funded Congress was in their interests, then it’s much more likely that Congress would use its legislative powers to vote itself more funding
    • E.g. if everyone could see that some executive action was power-seeking, then it’s much more likely that the courts stand up to that
  • ‘Everyone correctly understands their own interests’ probably isn’t actually necessary
    • Some kinds of epistemic uplift you only get the benefits if everyone is uplifted. E.g.
      • Lots of the societal benefits of provenance tracing, rhetoric highlighting, reliability tracking come from widespread trust in and use of those tools
      • Some of the paths to impact from coordination tech involve most of civil society coordinating using AI tools
    • But other important kinds you only need some important people to be uplifted. E.g.
      • Automated OSINT for journalists
      • If only academics/lawyers/economists were using things like provenance tracing, rhetoric highlighting, reliability tracking, that could still enable them to use their political and advisory capital to much greater effect
      • Similarly, automated superforecasting and scenario planning could help if only adopted by influential elites (though there are also dual use concerns here)
      • Angels-on-the-shoulder type tools like reflection scaffolding and guardian angels could be extremely consequential if adopted by a handful of key decision-makers
  • Epistemic interventions are unusually tractable
    • You don’t need legislation, you can just go and build stuff
    • Adoption is hard, but as above, there are important cases where narrow adoption is sufficient
  • Epistemic interventions are approximately uncorrelated with other intervention classes, so they make the overall portfolio more robust
    • Lots of interventions route through a) government or b) lab policy. These are super important, but also all or a)/b) might fail if the environment for that kind of policy remains/becomes unfavourable

Thanks to Ben Stewart and John Bridge for scepticism that prompted me to write this and useful comments; and to Owen Cotton-Barratt, Abra Ganz and Oly Sourbut for comments. I haven't edited the text in light of comments, but sharing as is because maybe it will prompt more useful discussion.

  1. ^

     NB I’m leaning into the bull case in the expectation that others will represent the bear case, rather than trying to reach an all-things-considered take in this doc.

  2. ^

     Boese et al find that freedom of expression and civil society freedoms are usually the first things to go (though other scholars point to different ordering:

    • Levitsky and Ziblatt, How Democracies Die (2018): capturing the referees (like courts and law enforcement), then hampering the opposition (through bribery, corruption and lawfare), then changing the rules (the constitution and the electoral system)
    • Sato et al: undermining horizontal accountability (separation of powers), then diagonal accountability (media freedom and freedom of speech), then vertical accountability (elections)
  3. ^

     Singh argues that coups are basically coordination games, and control of the information environment is key.

  4. ^

     Ways to backslide, from Riedl et al:

    • Legislative capture, when there’s a strong party. Examples: India, Turkey, Hungary
    • Plebiscitary overrides, when there’s a populist president. Examples: Venezuela
    • Executive powergrabs, when opposition parties and institutions are weak. Examples: Tunisia, Brazil
    • Elite collusion, when parties and civil society are weak and state capacity is low. Examples: Indonesia, Guatemala
  5. Show all footnotes

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(I started reading this post hoping to learn what exactly an epistemic intervention is, and I stopped reading when I realized it wasn't going to be defined / the reader should be familiar with the term. I guess I'm not the target audience but I thought I'd share. :))

Yeah thanks for flagging, and sorry! This was written in a v inside baseball way and I didn't spend time making it properly legible.

The lazy answer to what I'm thinking of when I say 'epistemic intervention' is the things we talk about in these design sketches: https://www.forethought.org/research/design-sketches-for-a-more-sensible-world

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