Academic Journal
Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9).
| Title: | Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9). |
|---|---|
| Authors: | Taş, Eylem1 (AUTHOR) eylem.tas@uni-hamburg.de, Memmert, Lucas2 (AUTHOR) lucas.memmert@uzh.ch, Bittner, Eva2 (AUTHOR) eva.bittner@uzh.ch |
| Source: | Electronic Markets. 6/22/2026, Vol. 36 Issue 1, p1-18. 18p. |
| Subject Terms: | *Generative artificial intelligence, *Workflow management, *Natural language processing, Language models, Agent (Philosophy), Research protocols, Artificial intelligence & ethics |
| Abstract: | Generative AI is embedded in everyday knowledge work, but we know little about how workers preserve human agency when large language models (LLM) output enters real deliverables. Drawing on 15 interviews in two early-adopting German tech firms and analysis of handbooks and workflow artifacts, we examine how professionals keep control and responsibility when LLM generate parts of their work. We focus on three phases where people step in: drafting with the AI, refining its output, and reviewing the final product with others. We derive a nine-step checklist that specifies what practices to apply, and when, to keep AI-assisted text reliable, traceable, and accountable. We contribute by (1) explaining how ownership and discretion jointly ground human agency in GenAI workflows, (2) mapping when and how judgment shifts between humans and LLMs across drafting, refining, and reviewing, and (3) deriving a nine-step Oversight Protocol (OP-9) that embeds simple checks at key points in the workflow. [ABSTRACT FROM AUTHOR] |
| Copyright of Electronic Markets is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Business Source Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s12525-026-00915-x Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:bsx&genre=article&issn=10196781&ISBN=&volume=36&issue=1&date=20260622&spage=1&pages=1-18&title=Electronic Markets&atitle=Episodic%20oversight%20in%20generative%20AI%20workflows%3A%20A%20nine-step%20protocol%20for%20preserving%20human%20agency%20%28OP-9%29.&aulast=Ta%C5%9F%2C%20Eylem&id=DOI:10.1007/s12525-026-00915-x Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Taş%2C+Eylem%22">Taş, Eylem</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eylem.tas@uni-hamburg.de</i><br /><searchLink fieldCode="AR" term="%22Memmert%2C+Lucas%22">Memmert, Lucas</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> lucas.memmert@uzh.ch</i><br /><searchLink fieldCode="AR" term="%22Bittner%2C+Eva%22">Bittner, Eva</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> eva.bittner@uzh.ch</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronic+Markets%22">Electronic Markets</searchLink>. 6/22/2026, Vol. 36 Issue 1, p1-18. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Workflow+management%22">Workflow management</searchLink><br />*<searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink><br /><searchLink fieldCode="DE" term="%22Agent+%28Philosophy%29%22">Agent (Philosophy)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+protocols%22">Research protocols</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+%26+ethics%22">Artificial intelligence & ethics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Generative AI is embedded in everyday knowledge work, but we know little about how workers preserve human agency when large language models (LLM) output enters real deliverables. Drawing on 15 interviews in two early-adopting German tech firms and analysis of handbooks and workflow artifacts, we examine how professionals keep control and responsibility when LLM generate parts of their work. We focus on three phases where people step in: drafting with the AI, refining its output, and reviewing the final product with others. We derive a nine-step checklist that specifies what practices to apply, and when, to keep AI-assisted text reliable, traceable, and accountable. We contribute by (1) explaining how ownership and discretion jointly ground human agency in GenAI workflows, (2) mapping when and how judgment shifts between humans and LLMs across drafting, refining, and reviewing, and (3) deriving a nine-step Oversight Protocol (OP-9) that embeds simple checks at key points in the workflow. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electronic Markets is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12525-026-00915-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Workflow management Type: general – SubjectFull: Natural language processing Type: general – SubjectFull: Language models Type: general – SubjectFull: Agent (Philosophy) Type: general – SubjectFull: Research protocols Type: general – SubjectFull: Artificial intelligence & ethics Type: general Titles: – TitleFull: Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Taş, Eylem – PersonEntity: Name: NameFull: Memmert, Lucas – PersonEntity: Name: NameFull: Bittner, Eva IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 06 Text: 6/22/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10196781 Numbering: – Type: volume Value: 36 – Type: issue Value: 1 Titles: – TitleFull: Electronic Markets Type: main |
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