Emotion Artificial Intelligence in the Workplace: United States Legal Considerations.
Saved in:
| Title: | Emotion Artificial Intelligence in the Workplace: United States Legal Considerations. |
|---|---|
| Authors: | Sipior, Janice C.1 (AUTHOR) janice.sipior@villanova.edu, Ward, Burke T.2 (AUTHOR), Lombardi, Danielle R.1 (AUTHOR), Appelbaum, Deniz A.3 (AUTHOR) |
| Source: | Information Systems Management. 2026, Vol. 43 Issue 2, p118-135. 18p. |
| Subjects: | Legal liability, Privacy, Digital technology, Work environment, American law, Legal doctrines, Security (Psychology), Affective computing |
| Geographic Terms: | United States |
| Abstract: | Organizations seek to effectively utilize employees' emotions as a resource to enhance their operations. Using Emotion AI appropriately is critical because, if proven otherwise, companies could be held legally liable. We analyze the U.S. legal system addressing Emotion AI use in the workplace. A legal analysis is essential to ensure its use respects employees and avoids potential legal liability. We conclude that the fragmented protections provided fail to clearly and comprehensively safeguard employee emotional privacy. [ABSTRACT FROM AUTHOR] |
| Copyright of Information Systems Management is the property of Taylor & Francis Ltd 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: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 192729381 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Emotion Artificial Intelligence in the Workplace: United States Legal Considerations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sipior%2C+Janice+C%2E%22">Sipior, Janice C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> janice.sipior@villanova.edu</i><br /><searchLink fieldCode="AR" term="%22Ward%2C+Burke+T%2E%22">Ward, Burke T.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lombardi%2C+Danielle+R%2E%22">Lombardi, Danielle R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Appelbaum%2C+Deniz+A%2E%22">Appelbaum, Deniz A.</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information+Systems+Management%22">Information Systems Management</searchLink>. 2026, Vol. 43 Issue 2, p118-135. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Legal+liability%22">Legal liability</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Work+environment%22">Work environment</searchLink><br /><searchLink fieldCode="DE" term="%22American+law%22">American law</searchLink><br /><searchLink fieldCode="DE" term="%22Legal+doctrines%22">Legal doctrines</searchLink><br /><searchLink fieldCode="DE" term="%22Security+%28Psychology%29%22">Security (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+computing%22">Affective computing</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Organizations seek to effectively utilize employees' emotions as a resource to enhance their operations. Using Emotion AI appropriately is critical because, if proven otherwise, companies could be held legally liable. We analyze the U.S. legal system addressing Emotion AI use in the workplace. A legal analysis is essential to ensure its use respects employees and avoids potential legal liability. We conclude that the fragmented protections provided fail to clearly and comprehensively safeguard employee emotional privacy. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Information Systems Management is the property of Taylor & Francis Ltd 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192729381 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10580530.2026.2616521 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 118 Subjects: – SubjectFull: Legal liability Type: general – SubjectFull: Privacy Type: general – SubjectFull: Digital technology Type: general – SubjectFull: Work environment Type: general – SubjectFull: American law Type: general – SubjectFull: Legal doctrines Type: general – SubjectFull: Security (Psychology) Type: general – SubjectFull: Affective computing Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Emotion Artificial Intelligence in the Workplace: United States Legal Considerations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sipior, Janice C. – PersonEntity: Name: NameFull: Ward, Burke T. – PersonEntity: Name: NameFull: Lombardi, Danielle R. – PersonEntity: Name: NameFull: Appelbaum, Deniz A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10580530 Numbering: – Type: volume Value: 43 – Type: issue Value: 2 Titles: – TitleFull: Information Systems Management Type: main |
| ResultId | 1 |