diff --git a/inbox/queue/.extraction-debug/2025-01-00-chaffer-agentbound-tokens-ai-accountability.json b/inbox/queue/.extraction-debug/2025-01-00-chaffer-agentbound-tokens-ai-accountability.json new file mode 100644 index 00000000..d2da3c80 --- /dev/null +++ b/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" +} \ No newline at end of file diff --git a/inbox/queue/2025-01-00-chaffer-agentbound-tokens-ai-accountability.md b/inbox/queue/2025-01-00-chaffer-agentbound-tokens-ai-accountability.md index 7e2030a9..9829b7e6 100644 --- a/inbox/queue/2025-01-00-chaffer-agentbound-tokens-ai-accountability.md +++ b/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