extract: 2025-01-00-chaffer-agentbound-tokens-ai-accountability

Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA>

inbox/queue/.extraction-debug/2025-01-00-chaffer-agentbound-tokens-ai-accountability.json

@@ -0,0 +1,37 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 7,
+    "rejected": 2,
+    "fixes_applied": [
+      "cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:set_created:2026-03-18",
+      "cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:stripped_wiki_link:coding agents cannot take accountability for mistakes",
+      "cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:stripped_wiki_link:coding-agents-cannot-take-accountability-for-mistakes-which-",
+      "cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:stripped_wiki_link:AI-agents-as-personal-advocates-collapse-Coasean-transaction",
+      "accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md:set_created:2026-03-18",
+      "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",
+      "accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md:stripped_wiki_link:adaptive-governance-outperforms-rigid-alignment-blueprints-b"
+    ],
+    "rejections": [
+      "cryptoeconomic-staking-creates-ai-agent-accountability-through-automatic-slashing-without-human-discretion.md:missing_attribution_extractor",
+      "accountability-scales-with-autonomy-as-design-principle-for-ai-agent-governance.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}

inbox/queue/2025-01-00-chaffer-agentbound-tokens-ai-accountability.md

@@ -7,10 +7,14 @@ date: 2025-01-01
 domain: ai-alignment
 secondary_domains: [internet-finance]
 format: article
-status: unprocessed
+status: null-result
 priority: medium
 tags: [agentbound-tokens, accountability, skin-in-the-game, cryptoeconomics, mechanism-design, AI-agents, governance]
 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"]
+processed_by: theseus
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -63,3 +67,12 @@ PRIMARY CONNECTION: [[coding agents cannot take accountability for mistakes whic
 WHY ARCHIVED: First governance mechanism specifically designed for AI agent accountability using cryptoeconomic principles. Also relevant to Rio's mechanism design territory.
 
 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.
+
+
+## Key Facts
+- Agentbound Tokens (ABTs) are cryptographic tokens serving as 'tamper-proof digital birth certificates' for autonomous AI agents
+- ABT mechanism includes temporary blacklisting for repeat offenses
+- ABT validator DAOs use hybrid human-AI oversight
+- ABT governance uses utility-weighted voting where power derives from task success rates and energy efficiency
+- ABT governance includes per-agent caps to prevent monopolization
+- Working paper authored by Tomer Jordi Chaffer at McGill University with contributions from Goldston, Muttoni, Zhao, Shaw Walters