Analyzing How AI And Emotional Intelligence Affect Indian IT Professional’s Decision-Making

被引：0

作者：

Shukla A. ^{[1
]}

Agnihotri A. ^{[1
]}

Singh B. ^{[2
]}

机构：

[1] Galgotias University, Noida

[2] GN Group of Institutes, Noida

来源：

EAI Endorsed Transactions on Pervasive Health and Technology | 2023年 / 9卷 / 01期

关键词：

Artificial Intelligence; Decision-making Processes; Emotional Intelligence; India; IT Professionals;

D O I：

10.4108/eetpht.9.4654

中图分类号：

学科分类号：

摘要：

Artificial intelligence (AI) is transforming how we work and make choices, but it also poses ethical and societal issues including algorithmic discrimination and dehumanization. It is critical to take into account corporate culture, emotional intelligence, cooperation, communication, and constant learning when using AI systems in the workplace. It has been demonstrated that emotional intelligence increases AI adoption, efficacy, and performance across a variety of sectors. But ethical concerns and trouble making decisions are also important. Effective collaboration, communication, and corporate culture are crucial for successful AI adoption, and continuing learning and development are essential for enhancing decision-making abilities. AI ethics in the workplace necessitate a comprehensive strategy that considers both technical and non-technical aspects. This study looks at the benefits of emotional intelligence, moral concerns, effective stakeholder and IT specialist engagement, organisational culture, and potential threats of artificial intelligence (AI) in decision-making. The study underlines the value of continuous AI learning and development. © 2023, European Alliance for Innovation. All rights reserved.

引用

共 54 条

[11]

Goleman D., Emotional intelligence: Why it can matter more than IQ, (1995)

[12]

Grana M., Garcia-Saez G., Montero F., Assessing emotional intelligence through psychophysiological and behavioural data fusion, Sensors, 19, 7, (2019)

[13]

Kaur G., Singh A., Artificial intelligence in healthcare: present status and future prospects, International Journal of Computer Applications, 182, 38, pp. 32-37, (2018)

[14]

Mayer J. D., Caruso D. R., Salovey P., The ability model of emotional intelligence: Principles and updates, Emotion Review, 8, 4, pp. 290-300, (2016)

[15]

Pantano E., Laria G., Artificial intelligence, human-like processing and ethical issues: The need for a code of conduct, Journal of Business Research, 89, pp. 464-476, (2018)

[16]

Sundar S. S., Kang J., Oprean D., Sriraman S., Designing chatbots for crisiscounseling: A case study of an AI-based conversation agent, Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 3750-3761, (2017)

[17]

Zhang L., Wang C., Liang C., Can artificial intelligence be more emotionally intelligent than people? An empirical investigation, Information & Management, 57, 2, (2020)

[18]

Alimardani M., Shokouhi M., Karimian A., Emotion detection using artificial intelligence: A systematic review, Journal of Ambient Intelligence and Humanized Computing, 10, 7, pp. 2689-2715, (2019)

[19]

Antonietti A., Gatti F., Emotional intelligence and attitudes toward artificial intelligence: An exploratory study, International Journal of HumanComputer Interaction, 36, 15, pp. 1399-1413, (2020)

[20]

Bose R., A study on the impact of emotional intelligence on performance in Indian IT companies, International Journal of Research and Analytical Reviews, 6, 1, pp. 83-90, (2019)

← 1 2 3 4 5 6 →