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Hajar Mozaffar

Biographic Data

ID6198492
NAMEHajar Mozaffar
GIVEN NAMESHajar
FAMILY NAMEMozaffar
SIGNATUREMOZAFFAR H
AFFILIATIONSUniversity of Edinburgh
ORCID0000-0002-6400-5260
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Domesticating AI in medical diagnosis

    Open Access•Robin Williams, Stuart Anderson et al.•ARTICLE•Technology in Society•2024•Cited by: 2•References: 36

    We consider the anticipated adoption of Artificial Intelligence (AI) in medical diagnosis. We examine how seemingly compelling claims are tested as AI tools move into real-world settings and discuss how analysts can develop effective understandings in novel and rapidly changing settings. Four case studies highlight the challenges of utilising diagnostic AI tools at differing stages in their innovation journey. Two ‘upstream’ cases seeking to demo…

  • The managed prosumer

    Mikael Johnson, Hajar Mozaffar et al.•ARTICLE•Information Communication & Society•2014

    This paper contributes to the reworking of the traditional concepts and methods of Science and Technology Studies that is necessary in order to analyse the development and use of social media and other emerging information infrastructures (IIs). Through long-term studies of the development of two contrasting IIs, the paper examines the prosumer-management strategies by which vendors manage their relationships with their diverse users. Despite the…

  • Domesticating AI in medical diagnosis

    Open Access•Robin Williams, Stuart Anderson et al.•ARTICLE•Technology in Society•2024•Cited by: 2•References: 36

    We consider the anticipated adoption of Artificial Intelligence (AI) in medical diagnosis. We examine how seemingly compelling claims are tested as AI tools move into real-world settings and discuss how analysts can develop effective understandings in novel and rapidly changing settings. Four case studies highlight the challenges of utilising diagnostic AI tools at differing stages in their innovation journey. Two ‘upstream’ cases seeking to demo…

  • The managed prosumer

    Mikael Johnson, Hajar Mozaffar et al.•ARTICLE•Information Communication & Society•2014

    This paper contributes to the reworking of the traditional concepts and methods of Science and Technology Studies that is necessary in order to analyse the development and use of social media and other emerging information infrastructures (IIs). Through long-term studies of the development of two contrasting IIs, the paper examines the prosumer-management strategies by which vendors manage their relationships with their diverse users. Despite the…

  • Domesticating AI in medical diagnosis

    Open Access•Robin Williams, Stuart Anderson et al.•ARTICLE•Technology in Society•2024•Cited by: 2•References: 36

    We consider the anticipated adoption of Artificial Intelligence (AI) in medical diagnosis. We examine how seemingly compelling claims are tested as AI tools move into real-world settings and discuss how analysts can develop effective understandings in novel and rapidly changing settings. Four case studies highlight the challenges of utilising diagnostic AI tools at differing stages in their innovation journey. Two ‘upstream’ cases seeking to demo…

Computer Science (2 works) · AI in cancer detection (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Business (1 work) · Digital Platforms and Economics (1 work) · Engineering (1 work) · Knowledge management (1 work) · Knowledge Management and Sharing (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae