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King Yew Choo’s research sets out models for AI agents to commission and pay for expert work. His policy submissions address payment controls, financial regulation and the evidence used to assess AI systems.
Policy submissions
Financial Stability Board
Payment controls for AI agents
Consultation response ·
Identifies duplicate payment after a network retry as a distinct risk in AI-initiated transactions. Recommends checks on repeated instructions, delegated authority and spending limits, drawing on established payment interfaces and UK Open Banking.
Recommends that the Bank set expectations for authorisation, duplicate-payment controls and transaction records before AI agents move money. Draws on PayTo and the New Payments Platform while preserving merchant choice of debit network within the payment method the customer authorises.
Automated payments and Federal Reserve account access
Policy submission ·
Examines automated payment activity under the proposed Payment Account framework. Recommends wording that preserves case-by-case review, including scrutiny of automation and illicit-finance risk, without creating a separate category of payment activity.
Examines the evidence and definitions behind the proposed statement on AI accuracy. Questions what observed fact-checking establishes about consumer trust, and shows how reported accuracy can rise while users receive fewer correct answers.
Identifies privilege provisions described as applying to both drafting alternatives, but printed under only one. Requests consistent drafting or an explanation of that choice, alongside clarification of differences in the information issuers may disclose.
A transaction architecture for AI agents purchasing expert services
Working paper ·
Develops an architecture and formal model linking delegated authority, payment and delivery of expert work. Analyses permission checks, repeated requests and transaction records, and maps the shift from managed expert calls to services that AI agents can purchase directly.
Payment and permission checks for agent-initiated work
Individual Internet-Draft ·
Sets out a server-side model for work that AI agents commission and receive later. Defines the task lifecycle, places checks on delegated authority and payment or entitlement before fulfilment, and links repeated requests to one task.
Controls for AI payments in UK retail infrastructure
Consultation response ·
Proposes five requirements for the UK’s future retail payments infrastructure: authority references, an attested marker for agent-initiated payments, request keys, controls against duplicate clearing outcomes and retained transaction records. Assigns duties across payment providers, clearing infrastructure and scheme rules, with provisions for privacy and accessible human approval.
Examines duplicate transactions caused by retries after an uncertain payment outcome. Recommends supervisory examples covering risk assessments, warning indicators and incident records, so institutions can trace one instruction across systems, test lost acknowledgements and concurrent retries, and reconcile unresolved outcomes.
Sets out how exceptions to New Zealand’s proposed cash-access standard should be measured, evidenced and reviewed. Combines service availability, travel barriers and local evidence with targeted route checks and a common decision record, covering increases, reductions or changes in the services a locality receives.