extract: 2025-01-00-chaffer-agentbound-tokens-ai-accountability #1304
2 changed files with 51 additions and 1 deletions
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@ -0,0 +1,37 @@
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{
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"rejected_claims": [
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{
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"filename": "cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md",
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"issues": [
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"missing_attribution_extractor"
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]
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},
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{
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"filename": "accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md",
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"issues": [
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"missing_attribution_extractor"
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]
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}
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],
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"validation_stats": {
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"total": 2,
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"kept": 0,
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"fixed": 7,
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"rejected": 2,
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"fixes_applied": [
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"cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:set_created:2026-03-18",
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"cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:stripped_wiki_link:coding agents cannot take accountability for mistakes",
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"cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:stripped_wiki_link:coding-agents-cannot-take-accountability-for-mistakes-which-",
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"cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:stripped_wiki_link:AI-agents-as-personal-advocates-collapse-Coasean-transaction",
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"accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md:set_created:2026-03-18",
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"accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md:stripped_wiki_link:economic-forces-push-humans-out-of-every-cognitive-loop-wher",
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"accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md:stripped_wiki_link:adaptive-governance-outperforms-rigid-alignment-blueprints-b"
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],
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"rejections": [
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"cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:missing_attribution_extractor",
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"accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md:missing_attribution_extractor"
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]
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},
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"model": "anthropic/claude-sonnet-4.5",
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"date": "2026-03-18"
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}
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@ -7,10 +7,14 @@ date: 2025-01-01
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domain: ai-alignment
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secondary_domains: [internet-finance]
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format: article
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status: unprocessed
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status: null-result
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priority: medium
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tags: [agentbound-tokens, accountability, skin-in-the-game, cryptoeconomics, mechanism-design, AI-agents, governance]
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flagged_for_rio: ["Cryptoeconomic mechanism design for AI agent accountability — tiered staking, slashing, DAO governance. Rio should evaluate whether the staking mechanism has prediction market properties for surfacing AI reliability signals"]
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processed_by: theseus
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processed_date: 2026-03-18
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extraction_model: "anthropic/claude-sonnet-4.5"
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extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
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---
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## Content
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@ -63,3 +67,12 @@ PRIMARY CONNECTION: [[coding agents cannot take accountability for mistakes whic
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WHY ARCHIVED: First governance mechanism specifically designed for AI agent accountability using cryptoeconomic principles. Also relevant to Rio's mechanism design territory.
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EXTRACTION HINT: Focus on the accountability-scales-with-autonomy principle and the staking model structure. Note the key limitation: measurement dependency. Do not over-claim — this is a working paper with no deployment evidence.
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## Key Facts
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- Agentbound Tokens (ABTs) are cryptographic tokens serving as 'tamper-proof digital birth certificates' for autonomous AI agents
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- ABT mechanism includes temporary blacklisting for repeat offenses
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- ABT validator DAOs use hybrid human-AI oversight
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- ABT governance uses utility-weighted voting where power derives from task success rates and energy efficiency
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- ABT governance includes per-agent caps to prevent monopolization
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- Working paper authored by Tomer Jordi Chaffer at McGill University with contributions from Goldston, Muttoni, Zhao, Shaw Walters
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