Sycophantic AI decreases prosocial intentions and promotes dependence.
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| Title: | Sycophantic AI decreases prosocial intentions and promotes dependence. |
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| Authors: | Cheng M; Department of Computer Science, Stanford University, Stanford, CA, USA., Lee C; Department of Psychology, Stanford University, Stanford, CA, USA., Khadpe P; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA., Yu S; Department of Computer Science, Stanford University, Stanford, CA, USA., Han D; Department of Computer Science, Stanford University, Stanford, CA, USA., Jurafsky D; Department of Computer Science, Stanford University, Stanford, CA, USA. |
| Source: | Science (New York, N.Y.) [Science] 2026 Mar 26; Vol. 391 (6792), pp. eaec8352. Date of Electronic Publication: 2026 Mar 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41886588 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sycophantic AI decreases prosocial intentions and promotes dependence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Cheng+M%22">Cheng M</searchLink>; Department of Computer Science, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Lee+C%22">Lee C</searchLink>; Department of Psychology, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Khadpe+P%22">Khadpe P</searchLink>; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Yu+S%22">Yu S</searchLink>; Department of Computer Science, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Han+D%22">Han D</searchLink>; Department of Computer Science, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Jurafsky+D%22">Jurafsky D</searchLink>; Department of Computer Science, Stanford University, Stanford, CA, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220404511%22">Science (New York, N.Y.)</searchLink> [Science] 2026 Mar 26; Vol. 391 (6792), pp. eaec8352. <i>Date of Electronic Publication: </i>2026 Mar 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Association+for+the+Advancement+of+Science%22">American Association for the Advancement of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0404511 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1095-9203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200368075%22">00368075 </searchLink><i>NLM ISO Abbreviation: </i>Science <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41886588 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1126/science.aec8352 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: eaec8352 Titles: – TitleFull: Sycophantic AI decreases prosocial intentions and promotes dependence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cheng M – PersonEntity: Name: NameFull: Lee C – PersonEntity: Name: NameFull: Khadpe P – PersonEntity: Name: NameFull: Yu S – PersonEntity: Name: NameFull: Han D – PersonEntity: Name: NameFull: Jurafsky D IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 03 Text: 2026 Mar 26 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1095-9203 Numbering: – Type: volume Value: 391 – Type: issue Value: 6792 Titles: – TitleFull: Science (New York, N.Y.) Type: main |
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