Why zkML? Because @Intuit just introduced agentic AI across its Credit Karma and TurboTax platforms.
AI isn’t just assisting anymore — it’s making decisions about credit, taxes, and finances on your behalf.
When AI handles your money, how do we verify it’s acting as intended?
2/
Agentic transactions change everything.
It’s no longer just “buyer vs seller” — now there’s a model in the middle making decisions.
Fraud risk becomes bidirectional: the AI could be tricked, or the merchant could be fake.
Verification alone isn’t enough — we need proof.
3/
zkML ensures verifiable financial decisions:
- Proof the AI followed the intended financial strategy
- Proof no unauthorized logic influenced decisions
- Without exposing proprietary models or customer data
4/
Imagine financial services where:
✅ Every AI-driven decision includes a cryptographic execution trace
✅Users and regulators can audit AI behavior without inspecting personal data
✅ Credit, tax, and wealth decisions are verifiable at scale
zkML makes financial automation auditable and accountable.
5/
AI is already managing finances.
zkML ensures it does so transparently and verifiably.
That’s what @PolyhedraZK is building: zkML for a world where financial decisions are proven, not assumed.
2,480
13
本頁面內容由第三方提供。除非另有說明，OKX 不是所引用文章的作者，也不對此類材料主張任何版權。該內容僅供參考，並不代表 OKX 觀點，不作為任何形式的認可，也不應被視為投資建議或購買或出售數字資產的招攬。在使用生成式人工智能提供摘要或其他信息的情況下，此類人工智能生成的內容可能不準確或不一致。請閱讀鏈接文章，瞭解更多詳情和信息。OKX 不對第三方網站上的內容負責。包含穩定幣、NFTs 等在內的數字資產涉及較高程度的風險，其價值可能會產生較大波動。請根據自身財務狀況，仔細考慮交易或持有數字資產是否適合您。