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Soojin Jeong

Biographic Data

ID3735851
NAMESoojin Jeong
GIVEN NAMESSoojin
FAMILY NAMEJeong
SIGNATUREJEONG S
AFFILIATIONSGoogle DeepMind (United Kingdom)
ORCID0000-0002-5106-216X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Adventures in AI Wonderland

    Open Access•Eliza Kosoy, Emily Rose Reagan et al.•ARTICLE•interactions•2024

  • AI Mental Models & Trust

    Open Access•Soojin Jeong, A K Sinha et al.•ARTICLE•Ethnographic Praxis in Industry…•2024•Cited by: 1•References: 18

    This study offers practical solutions to ongoing issues of trust and accountability in AI, highlighting how AI mental models are shaped among consumers in the evolving relationship between humans and AI. We argue that although predictability in AI is crucial, alone it is not enough to foster trust. The lack of real consequences for AI systems that breach trust remains a key challenge for interaction design. Until AI systems face tangible repercus…

  • AI Mental Models & Trust

    Open Access•Soojin Jeong, A K Sinha et al.•ARTICLE•Ethnographic Praxis in Industry…•2024•Cited by: 1•References: 18

    This study offers practical solutions to ongoing issues of trust and accountability in AI, highlighting how AI mental models are shaped among consumers in the evolving relationship between humans and AI. We argue that although predictability in AI is crucial, alone it is not enough to foster trust. The lack of real consequences for AI systems that breach trust remains a key challenge for interaction design. Until AI systems face tangible repercus…

  • Adventures in AI Wonderland

    Open Access•Eliza Kosoy, Emily Rose Reagan et al.•ARTICLE•interactions•2024

  • AI Mental Models & Trust

    Open Access•Soojin Jeong, A K Sinha et al.•ARTICLE•Ethnographic Praxis in Industry…•2024•Cited by: 1•References: 18

    This study offers practical solutions to ongoing issues of trust and accountability in AI, highlighting how AI mental models are shaped among consumers in the evolving relationship between humans and AI. We argue that although predictability in AI is crucial, alone it is not enough to foster trust. The lack of real consequences for AI systems that breach trust remains a key challenge for interaction design. Until AI systems face tangible repercus…

Computer Science (2 works) · Psychology (2 works) · Adventure (1 works) · Art (1 works) · Art history (1 works) · Cognitive Abilities and Testing (1 works) · Cognitive science (1 works) · Ethics and Social Impacts of AI (1 works) · Explainable Artificial Intelligence (XAI (1 works) · History (1 works)

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