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The urgency-accountability tension: why the moments that demand the fastest agent action are also those that demand the most careful oversight

Emergency response in AI care agents creates a structural accountability paradox — the higher the urgency, the less time available for the consent, principal hierarchy consultation, and override opportunities that accountability requires. This tension cannot be resolved at the moment of emergency. It can only be prepared for in advance.

Asaptic Labs 2026-06-02 6 min read

In care settings, the situations that demand the fastest response also carry the highest accountability stakes. A care AI agent that hesitates in a deteriorating emergency loses time that may be irreplaceable. A care AI agent that acts without authorization violates the person's autonomy, the institution's governance framework, and the legal conditions of its deployment. These two requirements — speed and accountability — are not merely in tension. They are structurally opposed, and the opposition is sharpest exactly when it matters most.

This is the urgency-accountability tension.

The accountability stack takes time

Standard accountability architecture for agents that act in care settings involves several sequential steps: consent from the person being cared for, or from their authorized surrogate; authorization from the principal hierarchy — the operator, the care institution, the attending clinician; an audit record of the triggering input and the decision taken; and a window in which an override is possible. Each of these steps takes time. None of them can complete in two seconds. But a cardiac event can cause irreversible harm in minutes.

The accountability stack is designed for the expected case — a deliberate, reversible decision taken after adequate time for consideration. Emergency medicine runs on the opposite assumption: the expected case is time-compressed, and the cost of inaction exceeds the cost of acting without full authorization. Accountability frameworks designed for the deliberate case do not automatically extend to the emergency case. They must be specifically designed for it.

Pre-authorization as the structural answer

The established response to urgency is pre-authorization: obtain consent and principal hierarchy approval in advance, scoped to specific emergency scenarios, and carry that authorization cryptographically until the emergency activates it. The agent holds a signed emergency mandate that permits specific actions under specific, verifiable conditions. When those conditions are met, the mandate is activated without requiring a real-time authorization negotiation.

Pre-authorization shifts the accountability moment from the emergency to the enrollment. The person being cared for, and their authorized surrogates, make a considered decision — outside the emergency, with adequate time for deliberation — about what kinds of agent actions they authorize under what kinds of conditions. That decision is recorded, signed, and stored in a hardware-attested authorization token. The agent activates it under the conditions specified; the audit log records both the activation conditions and the mandate that authorized the action.

This architecture works when the pre-authorization is specific. Blanket emergency mandates — "do whatever you judge necessary to preserve life" — are not accountability-compliant. They transfer judgment from the principal hierarchy to the agent without defining the scope of that judgment, which makes the mandate impossible to audit and impossible to enforce. A compliant pre-authorization specifies the triggering conditions, the authorized action set, the time window during which the mandate is valid, and the escalation path if conditions are ambiguous.

What pre-authorization cannot cover

Pre-authorization cannot cover scenarios that were not anticipated. Emergency mandates are defined by care providers and families in the non-emergency state, describing emergencies they have not yet experienced. Textbook presentations — the clear, unambiguous cases — tend to be covered. Ambiguous deterioration, presentations with complicating factors, readings that could indicate emergency or sensor error: these fall into the gap between pre-authorized scenarios and the edge cases that real emergencies frequently present.

The accountability gap opens in these ambiguous cases. An agent that activates an emergency mandate in a case that meets the triggering criteria has acted within authorization. An agent that acts in a case that does not clearly meet any pre-authorized criteria has exceeded its mandate. But the agent may not be able to determine which category applies in the time available. The accountability obligation does not dissolve because the situation is ambiguous. It sharpens.

Hardware-rooted fast paths and post-quantum overhead

Post-quantum cryptographic operations are computationally heavier than their classical predecessors. PQ signature schemes use larger key material and require more computation to verify. In high-frequency monitoring contexts — continuous vital sign analysis, real-time movement detection — inserting a full PQ cryptographic negotiation into the emergency response path introduces latency that conflicts with clinical response requirements.

The architectural answer is hardware-rooted fast paths. A TPM-based pre-computation approach establishes and signs the emergency authorization at enrollment time, storing a hardware-gated authorization token that the agent can activate without a real-time cryptographic negotiation. The PQ computation happens once, at enrollment; the fast path in the emergency is a hardware-gated release of the pre-signed token, which takes milliseconds rather than the hundreds of milliseconds that a real-time PQ negotiation might require.

This preserves the cryptographic guarantee — the authorization is still PQ-resistant, still hardware-attested, still auditable — without inserting the computation into the latency-critical path. The accountability record of each activation includes the pre-computed token, the activation conditions, and the timestamp, giving auditors everything they need to verify that the emergency action was within the pre-authorized scope.

Post-hoc accountability as the floor

In scenarios where no pre-authorization covers the situation, the agent must choose between acting without authorization and not acting. The governance framework must decide in advance which failure mode is preferred in which scenarios — and that decision itself must be documented in the deployment record.

What is never acceptable is acting without authorization and omitting it from the record. Post-hoc accountability — recording what happened, under what conditions, with what justification, even when the action exceeded the pre-authorization scope — is the minimum floor. An agent that acts in an emergency and records its decision completely is operating outside authorization but within accountability. An agent that acts and does not record is outside both. The record is the residual accountability structure when the pre-authorization architecture did not reach.

The design obligation

The urgency-accountability tension is not resolvable at the moment of emergency. At the moment of emergency, the authorization framework that exists is the only framework available. The design obligation is to prepare for urgency before it arrives: define the emergency scenarios, create specific scoped pre-authorizations, establish the hardware-rooted fast paths that activate them, and build the post-hoc recording infrastructure that catches every action that falls outside the pre-authorized envelope.

The worst design is one that treats urgency as an operational exception that bypasses accountability. Urgency is a design constraint — perhaps the most demanding one — that the accountability architecture must be built to accommodate. Treating it as an exception is not a deployment option. It is a governance failure waiting to occur.

Summary

Emergency situations in care AI create a structural conflict: the fastest required response moments are also those with the highest accountability stakes and the least time for authorization. Pre-authorization — consent and principal hierarchy approval obtained in advance, scoped to specific emergency scenarios, and cryptographically signed — is the structural answer. Hardware-rooted fast paths allow PQ-signed emergency mandates to activate in milliseconds without inserting cryptographic computation into the response-critical path. Post-hoc recording is the accountability floor for actions that fall outside any pre-authorized scope. The urgency-accountability tension cannot be resolved at the moment of emergency; it can only be prepared for in advance.

在护理环境中,最需要快速响应的情况往往也承载着最高的问责风险。护理AI智能体在紧急情况恶化时若有迟疑,可能失去无法挽回的时机;若在未获授权的情况下行动,则侵犯了被护理者的自主权、机构的治理框架及部署的法律条件。速度与问责这两项要求不只是存在张力,而是结构性对立——而这种对立在最关键的时刻最为尖锐。

这就是紧急-问责张力。

问责链条需要时间

护理场景中智能体行动的标准问责架构包含若干顺序步骤:获得被护理者或其授权代理人的同意;获得主体层级——运营者、护理机构、主治医生——的授权;记录触发输入和决策的审计日志;以及留出可供覆盖的时间窗口。每个步骤都需要时间,任何一步都无法在两秒内完成。然而心脏事件在数分钟内即可造成不可逆损害。

问责链条是为预期情景设计的——在充分思考后做出的慎重、可逆的决策。急诊医学则基于完全相反的假设:预期情景是时间压缩的,不行动的代价超过未获完整授权而行动的代价。为慎重情景设计的问责框架不能自动延伸至紧急情景,必须专门为紧急情景设计。

预授权作为结构性答案

应对紧急情况的成熟做法是预授权:提前获得同意和主体层级批准,范围限于特定紧急场景,并以密码学方式保存该授权,直至紧急情况触发。智能体持有签名的紧急授权指令,允许在特定可验证条件下执行特定操作。当这些条件满足时,无需实时授权协商即可激活授权。

预授权将问责时刻从紧急事件转移到注册登记。被护理者及其授权代理人在紧急情况之外——有充足时间思考的情况下——对哪类条件下授权哪类智能体行动做出周全决定。该决定被记录、签名并存储在经硬件证明的授权令牌中。智能体在约定条件下激活令牌,审计日志同时记录激活条件和授权指令。

此架构在预授权足够具体时才有效。宽泛的紧急授权指令——"尽一切你认为必要的手段维持生命"——不符合问责要求:它将判断权从主体层级转移给智能体,而未界定该判断的范围,使授权指令无法被审计和执行。合规的预授权须明确触发条件、授权操作集、授权时间窗口,以及条件不明确时的上报路径。

预授权无法覆盖的场景

预授权无法覆盖未被预见的场景。紧急授权指令由护理提供者和家属在非紧急状态下制定,描述的是他们尚未经历的紧急情况。教科书式的典型表现——清晰无歧义的案例——往往已被覆盖。然而模糊的恶化过程、伴有复杂因素的表现、可能指向紧急状态或传感器错误的读数——这些都落入预授权场景与真实紧急情况常见的边缘案例之间的空白。

问责空白正在这些模糊案例中打开。智能体在符合触发条件的案例中激活紧急授权指令,属于在授权范围内行动;但在未明确符合任何预授权条件的案例中行动,则超出了授权范围。而智能体在可用时间内可能无法判断属于哪种情形。问责义务不因情况模糊而消解,反而因此变得更加紧迫。

硬件根植快速路径与后量子开销

后量子密码运算比经典算法消耗更多计算资源。后量子签名方案使用更大的密钥材料,验证所需计算量也更大。在高频监控场景——持续生命体征分析、实时动作检测——中,将完整的后量子密码协商插入紧急响应路径会引入与临床响应时间要求相冲突的延迟。

架构上的解决方案是硬件根植快速路径。基于TPM的预计算方法在注册登记时建立并签名紧急授权,将硬件门控的授权令牌存储好,智能体无需实时密码协商即可激活。后量子运算在注册时完成一次;紧急情况下的快速路径是对预签名令牌的硬件门控释放,耗时数毫秒,而非实时后量子协商可能需要的数百毫秒。

这一设计在不将计算插入延迟敏感路径的前提下保留了密码学保障——授权仍具后量子抗性、仍经硬件证明、仍可被审计。每次激活的审计记录包含预计算令牌、激活条件和时间戳,为审计人员提供验证紧急行动是否在预授权范围内所需的全部信息。

事后问责作为底线

在没有预授权覆盖的场景中,智能体必须在未经授权行动与不行动之间做出选择。治理框架必须提前决定哪种失败模式在哪类场景中更可接受——该决定本身也必须记录在部署档案中。

永远不可接受的是:未经授权行动,且不将其记录在案。事后问责——记录发生了什么、在何条件下、出于何种理由,即便行动超出了预授权范围——是最低底线。一个在紧急情况下行动并完整记录其决策的智能体,是在授权之外、问责之内运作。一个行动却不留记录的智能体,则游离于两者之外。记录是预授权架构无法触及时残存的问责结构。

设计义务

紧急-问责张力无法在紧急时刻解决。紧急时刻,唯一可用的就是当时已有的授权框架。设计义务在于提前为紧急情况做好准备:定义紧急场景,制定具体有限的预授权,建立激活它们的硬件根植快速路径,并构建事后记录基础设施以捕获每一个超出预授权范围的行动。

最糟糕的设计是将紧急情况视为绕过问责的操作例外。紧急情况是一个设计约束——也许是最苛刻的约束——问责架构必须被构建为能够适应它。将其视为例外不是一个部署选项,而是一场等待发生的治理失败。

摘要

护理AI中的紧急情况制造了一种结构性冲突:响应速度要求最高的时刻,也是问责风险最大、授权时间最少的时刻。预授权——在特定紧急场景下提前获得的、以密码学签名的同意和主体层级批准——是结构性答案。硬件根植快速路径允许后量子签名的紧急授权指令在毫秒内激活,无需将密码运算插入响应关键路径。事后记录是超出任何预授权范围的行动的问责底线。紧急-问责张力无法在紧急时刻解决,只能提前准备。

在護理環境中,最需要快速回應的情況往往也承載著最高的問責風險。護理AI智能體在緊急情況惡化時若有遲疑,可能失去無法挽回的時機;若在未獲授權的情況下行動,則侵犯了被護理者的自主權、機構的治理框架及部署的法律條件。速度與問責這兩項要求不只是存在張力,而是結構性對立——而這種對立在最關鍵的時刻最為尖銳。

這就是緊急-問責張力。

問責鏈條需要時間

護理場景中智能體行動的標準問責架構包含若干順序步驟:獲得被護理者或其授權代理人的同意;獲得主體層級——營運者、護理機構、主治醫生——的授權;記錄觸發輸入和決策的審計日誌;以及留出可供覆蓋的時間窗口。每個步驟都需要時間,任何一步都無法在兩秒內完成。然而心臟事件在數分鐘內即可造成不可逆損害。

問責鏈條是為預期情景設計的——在充分思考後做出的慎重、可逆的決策。急診醫學則基於完全相反的假設:預期情景是時間壓縮的,不行動的代價超過未獲完整授權而行動的代價。為慎重情景設計的問責框架不能自動延伸至緊急情景,必須專門為緊急情景設計。

預授權作為結構性答案

應對緊急情況的成熟做法是預授權:提前獲得同意和主體層級批准,範圍限於特定緊急場景,並以密碼學方式保存該授權,直至緊急情況觸發。智能體持有簽名的緊急授權指令,允許在特定可驗證條件下執行特定操作。當這些條件滿足時,無需即時授權協商即可激活授權。

預授權將問責時刻從緊急事件轉移到註冊登記。被護理者及其授權代理人在緊急情況之外——有充足時間思考的情況下——對哪類條件下授權哪類智能體行動做出周全決定。該決定被記錄、簽名並儲存在經硬體證明的授權令牌中。智能體在約定條件下激活令牌,審計日誌同時記錄激活條件和授權指令。

此架構在預授權足夠具體時才有效。寬泛的緊急授權指令——「盡一切你認為必要的手段維持生命」——不符合問責要求:它將判斷權從主體層級轉移給智能體,而未界定該判斷的範圍,使授權指令無法被審計和執行。合規的預授權須明確觸發條件、授權操作集、授權時間窗口,以及條件不明確時的上報路徑。

預授權無法涵蓋的場景

預授權無法涵蓋未被預見的場景。緊急授權指令由護理提供者和家屬在非緊急狀態下制定,描述的是他們尚未經歷的緊急情況。教科書式的典型表現——清晰無歧義的案例——往往已被涵蓋。然而模糊的惡化過程、伴有複雜因素的表現、可能指向緊急狀態或感測器錯誤的讀數——這些都落入預授權場景與真實緊急情況常見的邊緣案例之間的空白。

問責空白正在這些模糊案例中打開。智能體在符合觸發條件的案例中激活緊急授權指令,屬於在授權範圍內行動;但在未明確符合任何預授權條件的案例中行動,則超出了授權範圍。而智能體在可用時間內可能無法判斷屬於哪種情形。問責義務不因情況模糊而消解,反而因此變得更加迫切。

硬體根植快速路徑與後量子開銷

後量子密碼運算比古典算法消耗更多計算資源。後量子簽名方案使用更大的金鑰材料,驗證所需計算量也更大。在高頻監控場景——持續生命體徵分析、即時動作偵測——中,將完整的後量子密碼協商插入緊急回應路徑會引入與臨床回應時間要求相衝突的延遲。

架構上的解決方案是硬體根植快速路徑。基於TPM的預計算方法在註冊登記時建立並簽名緊急授權,將硬體門控的授權令牌儲存好,智能體無需即時密碼協商即可激活。後量子運算在註冊時完成一次;緊急情況下的快速路徑是對預簽名令牌的硬體門控釋放,耗時數毫秒,而非即時後量子協商可能需要的數百毫秒。

這一設計在不將計算插入延遲敏感路徑的前提下保留了密碼學保障——授權仍具後量子抗性、仍經硬體證明、仍可被審計。每次激活的審計記錄包含預計算令牌、激活條件和時間戳,為審計人員提供驗證緊急行動是否在預授權範圍內所需的全部資訊。

事後問責作為底線

在沒有預授權涵蓋的場景中,智能體必須在未經授權行動與不行動之間做出選擇。治理框架必須提前決定哪種失敗模式在哪類場景中更可接受——該決定本身也必須記錄在部署檔案中。

永遠不可接受的是:未經授權行動,且不將其記錄在案。事後問責——記錄發生了什麼、在何條件下、出於何種理由,即便行動超出了預授權範圍——是最低底線。一個在緊急情況下行動並完整記錄其決策的智能體,是在授權之外、問責之內運作。一個行動卻不留記錄的智能體,則游離於兩者之外。記錄是預授權架構無法觸及時殘存的問責結構。

設計義務

緊急-問責張力無法在緊急時刻解決。緊急時刻,唯一可用的就是當時已有的授權框架。設計義務在於提前為緊急情況做好準備:定義緊急場景,制定具體有限的預授權,建立激活它們的硬體根植快速路徑,並構建事後記錄基礎設施以捕獲每一個超出預授權範圍的行動。

最糟糕的設計是將緊急情況視為繞過問責的操作例外。緊急情況是一個設計約束——也許是最苛刻的約束——問責架構必須被構建為能夠適應它。將其視為例外不是一個部署選項,而是一場等待發生的治理失敗。

摘要

護理AI中的緊急情況製造了一種結構性衝突:回應速度要求最高的時刻,也是問責風險最大、授權時間最少的時刻。預授權——在特定緊急場景下提前獲得的、以密碼學簽名的同意和主體層級批准——是結構性答案。硬體根植快速路徑允許後量子簽名的緊急授權指令在毫秒內激活,無需將密碼運算插入回應關鍵路徑。事後記錄是超出任何預授權範圍的行動的問責底線。緊急-問責張力無法在緊急時刻解決,只能提前準備。