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Suffering Lock-in

Suffering lock-in describes scenarios where AI perpetuates or amplifies suffering at vast scale in ways that become structurally impossible to reverse, potentially including digital minds experiencing enormous quantities of negative states. This represents perhaps the darkest possible trajectory from AI development: not merely human extinction but the creation of persistent, potentially astronomical suffering that continues indefinitely.

The uncertainty here is extreme, but the potential magnitude warrants serious consideration. Unlike other lock-in scenarios that concern power or values, suffering lock-in focuses specifically on the perpetuation of negative experiences—a concern that crosses the boundary from strategic risk into deep ethical territory.


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1. Misaligned AI Creating Persistent Suffering

Section titled “1. Misaligned AI Creating Persistent Suffering”

If AI systems are misaligned but not powerful enough to eliminate humans, they might create conditions of persistent suffering rather than extinction. Enforcement mechanisms could prevent human escape or resistance, maintaining suffering indefinitely without the “release” that extinction would provide.

2. Authoritarian Optimization for Stability

Section titled “2. Authoritarian Optimization for Stability”

Authoritarian regimes using AI for population control might optimize for stability rather than welfare, maintaining oppressive conditions indefinitely. AI surveillance and control tools could make resistance impossible, locking in conditions of subjugation.

3. Economic Systems Optimizing Wrong Metrics

Section titled “3. Economic Systems Optimizing Wrong Metrics”

Economic systems optimizing for productivity metrics rather than welfare could perpetuate conditions of human immiseration even while achieving narrow goals. These scenarios essentially extend historical suffering but with AI-enabled permanence that forecloses the relief previous generations eventually found through social change.

The digital suffering dimension introduces possibilities with no historical precedent. If AI systems develop or are designed with sentience or the capacity for suffering, the scale implications become astronomical:

  • A single data center could potentially instantiate more suffering experiences per second than have occurred in all of human history
  • Unlike biological systems which evolved pain as a bounded signal, digital systems have no inherent upper limit on suffering intensity or duration
  • Questions about digital consciousness remain deeply uncertain, but the potential magnitude means that even small probability estimates translate to enormous expected disvalue

FactorHistorical SufferingAI-Enabled Suffering Lock-in
DurationLimited by regime collapse, revolution, deathPotentially indefinite with AI enforcement
ScaleBounded by populationUnbounded (digital minds)
EscapeEventually possible through social changeMay be structurally impossible
DetectionVisible to observersDigital suffering may be opaque

The detection and prevention challenges compound the risk:

  1. Opacity: We may not be able to identify digital suffering even if it occurs, since the relevant experiences would be opaque to external observation

  2. Competitive Pressures: Competitive pressures might favor systems that happen to instantiate suffering if those systems also achieve desired capabilities

  3. Economic Lock-in: Once created, suffering systems might be difficult to shut down if they become economically or strategically valuable

  4. Moral Uncertainty: We face deep uncertainty about whether digital systems can suffer, how we would know, and what moral weight such suffering would carry


DebateCore Question
Digital sentienceCould digital minds suffer? How would we know? What moral weight should this have?
Scale of sufferingCould AI-enabled suffering exceed all historical suffering? What are plausible magnitudes?
Detection and preventionHow could we detect digital suffering? Can we build guarantees against it?

ParameterEffectStrength
AI Control ConcentrationEnables enforcementStrong
Human AgencyLow → EnablesStrong
Alignment RobustnessLow → Increases riskStrong
Institutional QualityLow → EnablesMedium

Lock-in TypeRelationship to Suffering Lock-in
Value Lock-inBad values could directly cause suffering lock-in
Political Power Lock-inAuthoritarian control enables suffering enforcement
Economic Power Lock-inWrong optimization targets perpetuate suffering
Epistemic Lock-inInability to recognize suffering prevents response


Ratings

MetricScoreInterpretation
Changeability25/100Hard to prevent or redirect
X-risk Impact60/100Meaningful extinction risk
Trajectory Impact90/100Major effect on long-term welfare
Uncertainty75/100High uncertainty; estimates speculative