Gaube, Susanne

Do as AI say: susceptibility in deployment of clinical decision-aids

Gaube, S., Suresh, H., Raue, M., Merritt, A., Berkowitz, S. J., Lermer, E., Coughlin, J. F., Guttag, J. V., Colak, E., & Ghassemi, M. (2021) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 543

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

Gaube, S., Suresh, H., Raue, M., Lermer, E., Koch, T. K., Hudecek, M. F. C., Ackery, A. D., Grover, S. C., Coughlin, J. F., Frey, D., et al. (2023) · Scientific Reports

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 92

Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study

Kleine, A.-K., Kokje, E., Lermer, E., & Gaube, S. (2023) · JMIR Human Factors

Technology Adoption and User BehaviourDigital Mental Health Interventions

Cited by 49

Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task

Cecil, J., Lermer, E., Hudecek, M. F. C., Sauer, J., & Gaube, S. (2024) · Scientific Reports

Explainable Artificial Intelligence (XAI)AI and HR Technologies

Cited by 37

Who should do as AI say? Only non-task expert physicians benefit from correct explainable AI advice

Gaube, S., Suresh, H., Raue, M., Lermer, E., Koch, T., Hudecek, M., Ackery, A. D., Grover, S. C., Coughlin, J. F., Frey, D., et al. (2022) · Research Square

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 3