Knowing What to Do Is Not Enough - Human oversight between recognising a problem and delivering a response

A correct human review does not, by itself, ensure that an organisation delivers the authorised response. This conceptual paper examines continuity of responsibility between recognising an error in an AI-assisted process, carrying out a correction and addressing the consequences for affected people. A fictional account-restriction case follows a small business unable to submit payroll before a payment-service cut-off. Although a reviewer confirms the error and authorises release, an unaccepted handover delays execution until the opportunity for timely payment has passed. The paper brings together familiar operational practices—explicit task acceptance, continuing coordination, timely escalation and outcome verification—to examine how responsibility can remain connected across reviewers, operators and case handlers. It distinguishes authorisation from execution, local action records from evidence of payment outcomes, and restored account access from remedy for the consequences of delay. It also considers affected people’s experience, practical limits on authority and resources, and transparent closure where losses remain unresolved or irreversible. The contribution is a way of examining continuity of responsibility across roles, rather than a new task-management method. The handover failure could also occur without AI; its relevance to human oversight is that a reviewer can correctly challenge an AI-assisted decision while its effects remain in place. The proposed response arrangement has not been empirically tested.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23916590
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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preprint

Knowing What to Do Is Not Enough - Human oversight between recognising a problem and delivering a response

Kristian Kuhlmann, Daria Lepikhina
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Knowing What to Do Is Not Enough - Human oversight between recognising a problem and delivering a response

Kristian Kuhlmann, Daria Lepikhina
preprint en

Abstract

A correct human review does not, by itself, ensure that an organisation delivers the authorised response. This conceptual paper examines continuity of responsibility between recognising an error in an AI-assisted process, carrying out a correction and addressing the consequences for affected people. A fictional account-restriction case follows a small business unable to submit payroll before a payment-service cut-off. Although a reviewer confirms the error and authorises release, an unaccepted handover delays execution until the opportunity for timely payment has passed. The paper brings together familiar operational practices—explicit task acceptance, continuing coordination, timely escalation and outcome verification—to examine how responsibility can remain connected across reviewers, operators and case handlers. It distinguishes authorisation from execution, local action records from evidence of payment outcomes, and restored account access from remedy for the consequences of delay. It also considers affected people’s experience, practical limits on authority and resources, and transparent closure where losses remain unresolved or irreversible. The contribution is a way of examining continuity of responsibility across roles, rather than a new task-management method. The handover failure could also occur without AI; its relevance to human oversight is that a reviewer can correctly challenge an AI-assisted decision while its effects remain in place. The proposed response arrangement has not been empirically tested.

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
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