TY - GEN
T1 - AMCIS 2025 Montréal Emotion Artificial Intelligence in the Workplace
T2 - 2025 Americas Conference on Information Systems, AMCIS 2025
AU - Sipior, Janice C.
AU - Ward, Burke T.
AU - Lombardi, Danielle R.
AU - Appelbaum, Deniz
N1 - Publisher Copyright:
© (2025) by Association for Information Systems (AIS) All rights reserved.
PY - 2025
Y1 - 2025
N2 - Employees' emotions, moods, and affects have been found to influence organizational outcomes in a variety of areas. Organizations seek to effectively utilize this resource to enhance their operations and achieve significant outcomes. As a result, emotion artificial intelligence (Emotion AI) is increasingly being used in the workplace to assess and support employee wellbeing, promote workplace safety, assist in decision-making, and increase productivity, among other uses. Emotion AI refers to affective computing tools that analyze facial expressions and other physiological signals of emotion as well as those that create emotional responses. The pandemic accelerated the use of affect-recognition tools in the workplace, due to concerns of worker stress, burnout, depression, and productivity in a remote work environment. However well-intentioned, its use raises concerns such as invasion of employee privacy and the potential for inaccuracies and biases in its results. This paper examines legal considerations of using Emotion AI in the workplace.
AB - Employees' emotions, moods, and affects have been found to influence organizational outcomes in a variety of areas. Organizations seek to effectively utilize this resource to enhance their operations and achieve significant outcomes. As a result, emotion artificial intelligence (Emotion AI) is increasingly being used in the workplace to assess and support employee wellbeing, promote workplace safety, assist in decision-making, and increase productivity, among other uses. Emotion AI refers to affective computing tools that analyze facial expressions and other physiological signals of emotion as well as those that create emotional responses. The pandemic accelerated the use of affect-recognition tools in the workplace, due to concerns of worker stress, burnout, depression, and productivity in a remote work environment. However well-intentioned, its use raises concerns such as invasion of employee privacy and the potential for inaccuracies and biases in its results. This paper examines legal considerations of using Emotion AI in the workplace.
KW - Emotion artificial intelligence
KW - emotion recognition
KW - employee monitoring
KW - employee privacy
KW - legal considerations
UR - https://www.scopus.com/pages/publications/105025163444
M3 - Conference contribution
AN - SCOPUS:105025163444
T3 - Americas Conference on Information Systems, AMCIS 2025
SP - 3463
EP - 3467
BT - Americas Conference on Information Systems, AMCIS 2025
PB - Association for Information Systems
Y2 - 14 August 2025 through 16 August 2025
ER -