Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
Technology, particularly AI, is becoming more prevalent in how work is accomplished. Businesses who understand this reality and invest in leveraging technology to enable employees to do their best work and achieve their highest potential. Proper integration of technology and AI can provide professional development and growth opportunities for employees and help businesses compete in the war for talent by becoming an employer of choice. This session will educate participants on technology workplace integration and explain the steps organizations can take for employees to benefit from this integration. The session will primarily focus on three benefits of technology integration to the employee experience: (1) efficiency in task completion allowing for additional work enrichment; (2) reduced stress and frustration due to improved consistency of workflow; and (3) enhanced job performance. The session will illustrate these benefits through interactive scenarios that allow the audience to gain first-hand experience of the value of technology, AI, and the algorithms that underlie them. With the benefits of integrating new technology into the work experience, it is also crucial to recognize that with this novelty comes resistance from employees due to the established procedures, norms, and operations within an organization's culture. This resistance, in part, comes from employee algorithm aversion, which is the tendency to neglect algorithmic decisions in favor of one’s own decisions despite algorithms' demonstrated superior performance. Algorithm aversion represents a significant barrier to the benefits of technology integration. Businesses need to understand these barriers and develop training, development, and employee support mechanisms to successfully level technology and enable employees to do their best work. This session will focus on five specific barriers: (1) algorithms illiteracy, (2) uncertainty around how to make decisions with algorithmic support, (3) lack of appreciation of human and algorithms decision accuracy, (4) discomfort with AI and algorithms making ethical decisions, and (5) uneasiness from exclusively receiving feedback from technology. This session will also discuss how organizations can support their employees through the integration process. More specifically, the session will explore how to (1) implement algorithms literacy training, (2) use storytelling to open the “black-box” nature of algorithms, (3) blend AI and employees decisions by empowering input modification, and (4) develop interactive processes with human touch into technological generated feedback. Attendees will gain insights on how their organization can ensure employees gain value from technology integration and manage the new culture these technologies create through this interactive session.
Date
November 2024
Subject
Industrial and organizational psychology
Document Type
presentations
Language
English
Rights
http://rightsstatements.org/vocab/InC/1.0/
License
http://creativecommons.org/licenses/by/4.0/
Included in
Harnessing Technology and AI to Unleash Workplace Potential, Enhance Performance, and Elevate Employee Workplace Experience
Technology, particularly AI, is becoming more prevalent in how work is accomplished. Businesses who understand this reality and invest in leveraging technology to enable employees to do their best work and achieve their highest potential. Proper integration of technology and AI can provide professional development and growth opportunities for employees and help businesses compete in the war for talent by becoming an employer of choice. This session will educate participants on technology workplace integration and explain the steps organizations can take for employees to benefit from this integration. The session will primarily focus on three benefits of technology integration to the employee experience: (1) efficiency in task completion allowing for additional work enrichment; (2) reduced stress and frustration due to improved consistency of workflow; and (3) enhanced job performance. The session will illustrate these benefits through interactive scenarios that allow the audience to gain first-hand experience of the value of technology, AI, and the algorithms that underlie them. With the benefits of integrating new technology into the work experience, it is also crucial to recognize that with this novelty comes resistance from employees due to the established procedures, norms, and operations within an organization's culture. This resistance, in part, comes from employee algorithm aversion, which is the tendency to neglect algorithmic decisions in favor of one’s own decisions despite algorithms' demonstrated superior performance. Algorithm aversion represents a significant barrier to the benefits of technology integration. Businesses need to understand these barriers and develop training, development, and employee support mechanisms to successfully level technology and enable employees to do their best work. This session will focus on five specific barriers: (1) algorithms illiteracy, (2) uncertainty around how to make decisions with algorithmic support, (3) lack of appreciation of human and algorithms decision accuracy, (4) discomfort with AI and algorithms making ethical decisions, and (5) uneasiness from exclusively receiving feedback from technology. This session will also discuss how organizations can support their employees through the integration process. More specifically, the session will explore how to (1) implement algorithms literacy training, (2) use storytelling to open the “black-box” nature of algorithms, (3) blend AI and employees decisions by empowering input modification, and (4) develop interactive processes with human touch into technological generated feedback. Attendees will gain insights on how their organization can ensure employees gain value from technology integration and manage the new culture these technologies create through this interactive session.
Department
University of Tennessee at Chattanooga. Dept. of Psychology