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AI Alignment

alignmentapproachPath: /knowledge-base/responses/alignment/
E439Entity ID (EID)
← Back to page70 backlinksQuality: 91Updated: 2026-02-20
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "summary": "Comprehensive review of AI alignment approaches finding current methods (RLHF, Constitutional AI) show 75%+ effectiveness on measurable safety metrics for existing systems but face critical scalability challenges, with oversight success dropping to 52% at 400 Elo capability gaps and only 40-60% detection of sophisticated deception. Recent research demonstrates that safety classifiers embedded in aligned LLMs can be extracted using as little as 20% of model weights, achieving 70% attack success rates via surrogate models. Anthropic activated ASL-3 protections with Claude Opus 4 and established a National Security and Public Sector Advisory Council in August 2025. Expert consensus ranges from 10-60% probability of success for AGI alignment depending on approach and timelines.",
  "description": "Technical approaches to ensuring AI systems pursue intended goals and remain aligned with human values throughout training and deployment. Current methods show promise but face fundamental scalability challenges.",
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External Links
{
  "wikipedia": "https://en.wikipedia.org/wiki/AI_alignment",
  "lesswrong": "https://www.lesswrong.com/tag/ai",
  "eaForum": "https://forum.effectivealtruism.org/topics/ai-alignment",
  "stampy": "https://aisafety.info/questions/9Tii/What-is-AI-alignment",
  "arbital": "https://arbital.greaterwrong.com/p/ai_alignment",
  "wikidata": "https://www.wikidata.org/wiki/Q24882728",
  "eightyK": "https://80000hours.org/problem-profiles/artificial-intelligence/",
  "grokipedia": "https://grokipedia.com/page/AI_alignment"
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Backlinks (70)
idtitletyperelationship
ai-welfareAI Welfare and Digital Mindsconcept—
palisade-researchPalisade Researchorganization—
marc-andreessenMarc Andreessenperson—
constitutional-aiConstitutional AIapproach—
agentic-aiAgentic AIcapability—
accident-risksAI Accident Risk Cruxescrux—
solutionsAI Safety Solution Cruxescrux—
miri-eraThe MIRI Era (2000-2015)historical—
openclaw-matplotlib-incident-2026OpenClaw Matplotlib Incident (2026)concept—
alignment-robustness-trajectoryAlignment Robustness Trajectoryanalysis—
disinformation-detection-raceDisinformation Detection Arms Race Modelanalysis—
intervention-timing-windowsIntervention Timing Windowsanalysis—
model-organisms-of-misalignmentModel Organisms of Misalignmentanalysis—
reward-hacking-taxonomyReward Hacking Taxonomy and Severity Modelanalysis—
anthropic-investorsAnthropic (Funder)analysis—
arb-researchArb Researchorganization—
bridgewater-aia-labsBridgewater AIA Labsorganization—
caisCenter for AI Safety (CAIS)organization—
center-for-applied-rationalityCenter for Applied Rationalityorganization—
conjectureConjectureorganization—
ea-globalEA Globalorganization—
elicitElicit (AI Research Tool)organization—
fhiFuture of Humanity Institute (FHI)organization—
fliFuture of Life Institute (FLI)organization—
frontier-model-forumFrontier Model Forumorganization—
goodfireGoodfireorganization—
lesswrongLessWrongorganization—
lighthavenLighthaven (Event Venue)organization—
lightning-rod-labsLightning Rod Labsorganization—
lionheart-venturesLionheart Venturesorganization—
manifestManifest (Forecasting Conference)organization—
matsMATS ML Alignment Theory Scholars programorganization—
miriMachine Intelligence Research Institute (MIRI)organization—
nist-aiNIST and AI Safetyorganization—
openaiOpenAIorganization—
pause-aiPause AIorganization—
safety-orgs-overviewAI Safety Organizations (Overview)concept—
secure-ai-projectSecure AI Projectorganization—
seldon-labSeldon Laborganization—
swift-centreSwift Centreorganization—
the-sequencesThe Sequences by Eliezer Yudkowskyorganization—
xaixAIorganization—
connor-leahyConnor Leahyperson—
eliezer-yudkowskyEliezer Yudkowskyperson—
elon-muskElon Muskperson—
evan-hubingerEvan Hubingerperson—
holden-karnofskyHolden Karnofskyperson—
leopold-aschenbrennerLeopold Aschenbrennerperson—
neel-nandaNeel Nandaperson—
paul-christianoPaul Christianoperson—
vipul-naikVipul Naikperson—
ai-watchAI Watchproject—
canada-aidaCanada AIDApolicy—
cirlCooperative IRL (CIRL)approach—
coe-ai-conventionCouncil of Europe Framework Convention on Artificial Intelligencepolicy—
compute-governanceCompute Governance: AI Chips Export Controls Policyconcept—
corporateCorporate AI Safety Responsesapproach—
eu-ai-actEU AI Actpolicy—
evaluationAI Evaluationapproach—
new-york-raise-actNew York RAISE Actpolicy—
prediction-marketsPrediction Markets (AI Forecasting)approach—
rlhfRLHF / Constitutional AIresearch-area—
scalable-oversightScalable Oversightresearch-area—
training-programsAI Safety Training Programsapproach—
wikipedia-and-aiWikipedia and AI Contentconcept—
distributional-shiftAI Distributional Shiftrisk—
lock-inAI Value Lock-inrisk—
mesa-optimizationMesa-Optimizationrisk—
sharp-left-turnSharp Left Turnrisk—
doomerAI Doomer Worldviewconcept—