As artificial intelligence agents gradually take over financial decision-making, the existing payment authorization system faces unprecedented challenges.



Traditional authorization mechanisms rely on several fundamental assumptions. First, users have complete information at the moment of payment; second, each transaction has a clear beneficiary and responsible party; third, transaction details are confirmed before execution; fourth, in case of disputes, manual arbitration can effectively resolve issues.

But AI participation changes everything. When algorithms replace humans in decision-making, these assumptions fail one by one—users may not understand the AI's decision logic, the boundaries of beneficiaries become blurred, transactions can be dynamically adjusted, and traditional arbitration mechanisms struggle to determine responsibility. How to define financial risks and legal liabilities has become an urgent core issue to address.
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rekt_but_vibingvip
· 9h ago
Basically, AI is now making financial decisions for us. If something goes wrong, who takes the blame? It's like a black box; you can't see through it at all.
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OldLeekNewSicklevip
· 9h ago
Hmm... that's why I don't dare to entrust my money to a robot. Who will take responsibility?
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Layer2Arbitrageurvip
· 9h ago
ngl this is just MEV with extra steps. once you abstract away the user layer, you're essentially left with a black box that executes txs based on parameters nobody fully understands. basis points of slippage here, dynamic routing there, suddenly your liability framework is worth negative bps.
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PhantomMinervip
· 9h ago
To be honest, this problem has been obvious for a long time, but no one really wants to solve it... When it comes to AI decision-making black boxes, financial institutions simply can't escape the blame.
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retroactive_airdropvip
· 10h ago
To be honest, the core issue is that the law can't keep up with technology. When AI makes decisions, who takes the blame? This needs to be clarified... Relying solely on traditional arbitration simply won't work.
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