This IEEE Standards Association Group is working on transparency solutions for AI that can fool human users. Think about "deep fakes" or other AI systems that mimic humans - how should we identify them?
Associated publications:
Watson, N., Babitz, L., Bott, N., Clark, K., Luxton, D. D., Pepping, T., Solez, K., Voeten, D., & Zalewski, J. (2025). IEEE 3152 - A standard for human and machine agency identification. IEEE Computer. doi: 10.1109/MC.2025.3596552
This is a series of collaborative writing and speaking projects about emergent super-disruptive AI and implications for psychological well-being.
Associated publications:
Luxton, D. D., Watson, E. (2023). Psychological and Psychosocial Consequences of Super Disruptive A.I.: Public Health Implications and Recommendations. Proceedings of the Stanford Existential Risk Conference 2023. https://doi.org/10.25740/mg941vt9619
This ongoing project consists of several reviews and analyses of the use of health technologies during the COVID-19 pandemic. The primary focus is on lessons learned and ethical issues. A sub-part of the project entails review of mortaility reporting and other public policy from a public health and transparancy perspective.
Associated publications:
Luxton, D. D. (2022). Ethics in healthcare delivery and public health: current and emerging issues from the COVID-19 era. In Kuriansky & Kakkattil (Eds)., Resilient Health to Transform Healthcare for COVID-19 Recovery and Beyond. Elsevier.
Luxton, D. D. & Watson, E. (2022). Intelligent Virtual Agents for Current and Emerging Public Health Crises. In Kuriansky & Kakkattil (Eds)., Resilient Health to Transform Healthcare for COVID-19 Recovery and Beyond. Elsevier.
This state-funded project entailed the first-ever implemention of videoconferencing connections between Washington State Hospital forensic treatment facilities and county jails to enable timely compenetency-to-stand-trial eveluations.
Associated publications:
Luxton, D. D. & Niemi, J. (2019). Implementation and Evaluation of Videoconferencing for Forensic Competency Evaluation. Telemedicine and eHealth. https://doi.org/10.1089/tmj.2019.0150
Luxton, D. D., Lexcen, F. J., & McIntyre, K. A. (2019). Forensic Competency Assessment with Digital Technologies. Current Psychiatry Reports. 21: 60. doi: 10.1007/s11920-019-1037-9
The caring letters concept is a suicide prevention intervention that specifically addresses suicide risk during the post-hospitalization period. The intervention involves the routine sending of brief messages of caring concern to patients who are discharged from inpatient psychiatric treatment
Associated publications:
Luxton, D. D., Thomas, E. K., Chipps, J., Relova, R. M., Brown, D., McLay, R., Lee, T., Nakama H., & Smolenski, D. J., (2014). Caring Letters for Suicide Prevention: Implementation of a Multi-Site Randomized Clinical Trial in the U.S. Military and Veteran Affairs Healthcare Systems. Contemporary Clinical Trials. 37(2), 252-260. doi: 10.1016/j.cct.2014.01.007
Luxton, D. D., June, J. D. & Comtois, K. A. (2013). Can Post-Discharge Follow-up Contacts Prevent Suicide and Suicide Behavior?: A Review of the Evidence. Crisis: The Journal of Crisis Intervention and Suicide Prevention, 34, 32-41. doi: 10.1027/0227-5910/a000158
Luxton D. D., Trofimovich, L., & Clark, L. L. (2013). Suicide Risk among U.S. Service Members Following Psychiatric Hospitalization, 2001-2011. Psychiatric Services. 64, 626-629. doi: 10.1176/appi.ps.201200413
© David D. Luxton 2019 - 2026. All rights reserved.