AI and Employee Assistance: The New Frontier (Slides from EAPA Conference Workshop)
Authors
Attridge, Mark ; Hughes, Daniel
Advisor
Date
Embargo until
Language
Book title
Publisher
Peer Reviewed
Type
Research Area
Jurisdiction
Other Titles
Abstract
The potential transformative impact of Artificial Intelligence (AI) on science, education, work and society is critical to the future of employee assistance. Our online self-report survey was conducted with the support of the Employee Assistance Professionals Association (EAPA) and 7 other major professional groups in the industry. The total sample had 222 survey respondents including a mix of embedded internal staff, external vendor and hybrid model programs situated in a diverse range of workplaces and practice settings. Voices of EAPs were represented in the study from 25 countries. There is a widespread belief that AI will have a transformative impact on the EA field (78% agree) yet today there is a low level of current AI use within the EAP community (45% personally; 38% at EAP). Our respondents reported a diverse range of potential business operational, language-related and clinical areas of AI use. Ratings of overall positive emotions about AI in EAP service delivery averaged 5.8 on a 0 to 10 scale (no emotion to extreme). Top rated benefits of AI included having 24/7 access, improved business efficiency and faster triage into EAP services. Ratings of overall negative emotions about AI in EAP service delivery had a 4.6 average (on a 0 to 10 scale). Areas of concern involved lack of human involvement, data privacy and ethical use of AI. For example, selling of user data collected from AI mental health applications was judged as unethical by 87% of the sample. In conclusion, the survey sample formed three naturalistic groups: The Connected (37%); The Cautious (45%) and the Critical (18%). with non EAPA members being less favorably disposed and connected to AI technology. Adding of expanding AI tools for the program was planned by 32% EAPs and being considered by anther 30%. This hour-long workshop session at EAPA featured a lot of discussion and Q&A between the two researchers and the 40+ people in attendance.
