Academic Journal
ARTIFICIAL INTELLIGENCE FORCES US TO RETHINK KNIGHTIAN UNCERTAINTY: A COMMENTARY ON TOWNSEND ET AL.'S "ARE THE FUTURES COMPUTABLE?".
| Τίτλος: | ARTIFICIAL INTELLIGENCE FORCES US TO RETHINK KNIGHTIAN UNCERTAINTY: A COMMENTARY ON TOWNSEND ET AL.'S "ARE THE FUTURES COMPUTABLE?". |
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| Συγγραφείς: | Ramoglou, Stratos (AUTHOR), Schaefer, Reiner (AUTHOR), Chandra, Yanto (AUTHOR), McMullen, Jeff S. (AUTHOR) |
| Πηγή: | Academy of Management Review. Apr2025, Vol. 50 Issue 2, p471-473. 3p. |
| Θεματικοί όροι: | *Artificial intelligence, *Probability theory, *Uncertainty (Information theory), *Entrepreneurship, Possibility |
| People: | Knight, Frank H. (Frank Hyneman), 1885-1972 |
| Περίληψη: | This commentary builds on Townsend et al.’s (2025) application of Knightian uncertainty to critique the predictive limitations of artificial intelligence (AI), while challenging the assumption that possibilities are inherently unknowable. It argues that entrepreneurs often possess legitimate knowledge of what can happen, even without calculable probabilities, and that AI systems can enhance this epistemic capability. The authors distinguish between knowledge of what will happen and what can happen, emphasizing that the latter is both knowable and practically valuable for entrepreneurial decision-making. Ultimately, they call for a move beyond restrictive Knightian frameworks, recognizing AI's role in expanding and legitimizing knowledge of possibilities. |
| Βάση Δεδομένων: | Business Source Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://www.jstor.org/openurl?issn=03637425&date=2025&volume=50&issue=2&spage=471 Name: JSTOR (all content) (s7799221) Category: fullText Text: Icon: https://imageserver.ebscohost.com/branding/jstor/iconJSTOR.gif MouseOverText: Full Text from JSTOR |
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| Items | – Name: Title Label: Title Group: Ti Data: ARTIFICIAL INTELLIGENCE FORCES US TO RETHINK KNIGHTIAN UNCERTAINTY: A COMMENTARY ON TOWNSEND ET AL.'S "ARE THE FUTURES COMPUTABLE?". – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ramoglou%2C+Stratos%22">Ramoglou, Stratos</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schaefer%2C+Reiner%22">Schaefer, Reiner</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chandra%2C+Yanto%22">Chandra, Yanto</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McMullen%2C+Jeff+S%2E%22">McMullen, Jeff S.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Academy+of+Management+Review%22">Academy of Management Review</searchLink>. Apr2025, Vol. 50 Issue 2, p471-473. 3p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br />*<searchLink fieldCode="DE" term="%22Uncertainty+%28Information+theory%29%22">Uncertainty (Information theory)</searchLink><br />*<searchLink fieldCode="DE" term="%22Entrepreneurship%22">Entrepreneurship</searchLink><br /><searchLink fieldCode="DE" term="%22Possibility%22">Possibility</searchLink> – Name: SubjectPerson Label: People Group: Su Data: <searchLink fieldCode="PE" term="%22Knight%2C+Frank+H%2E+%28Frank+Hyneman%29%2C+1885-1972%22">Knight, Frank H. (Frank Hyneman), 1885-1972</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This commentary builds on Townsend et al.’s (2025) application of Knightian uncertainty to critique the predictive limitations of artificial intelligence (AI), while challenging the assumption that possibilities are inherently unknowable. It argues that entrepreneurs often possess legitimate knowledge of what can happen, even without calculable probabilities, and that AI systems can enhance this epistemic capability. The authors distinguish between knowledge of what will happen and what can happen, emphasizing that the latter is both knowable and practically valuable for entrepreneurial decision-making. Ultimately, they call for a move beyond restrictive Knightian frameworks, recognizing AI's role in expanding and legitimizing knowledge of possibilities. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=184534198 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5465/amr.2024.0127 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 471 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Uncertainty (Information theory) Type: general – SubjectFull: Entrepreneurship Type: general – SubjectFull: Possibility Type: general – SubjectFull: Knight, Frank H. (Frank Hyneman), 1885-1972 Type: general Titles: – TitleFull: ARTIFICIAL INTELLIGENCE FORCES US TO RETHINK KNIGHTIAN UNCERTAINTY: A COMMENTARY ON TOWNSEND ET AL.'S "ARE THE FUTURES COMPUTABLE?". Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ramoglou, Stratos – PersonEntity: Name: NameFull: Schaefer, Reiner – PersonEntity: Name: NameFull: Chandra, Yanto – PersonEntity: Name: NameFull: McMullen, Jeff S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 03637425 Numbering: – Type: volume Value: 50 – Type: issue Value: 2 Titles: – TitleFull: Academy of Management Review Type: main |
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