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Attitude Towards Artificial Intelligence and Tech Anxiety Among Working Professionals in Metropolitan Cities

Authors: Agna M Preeth; Vigraanth Bapu K.G;

Attitude Towards Artificial Intelligence and Tech Anxiety Among Working Professionals in Metropolitan Cities

Abstract

Our attitudes towards Artificial Intelligence (AI) and our worries about technology are more relevant than ever in the modern world. Professionals in urban areas are at the forefront of the technological transition as AI technologies are progressively incorporated into various facets of professional life, from AIdriven decision-making tools to automated processes. This study investigated the relationship between attitudes towards Artificial Intelligence (AI) and Tech Anxiety among urban millennials. A quantitative research method was employed, utilizing the General Attitude Towards Artificial Intelligence Scale and the Attitude to Abbreviated Technology Anxiety Scale. A sample of 150 responses, predominantly from IT professionals and educators in metropolitan areas, was collected and analyzed. The findings revealed that there was no significant relationship between positive and negative attitudes towards AI and Tech Anxiety among urban millennials. Additionally, no significant differences were found in attitudes towards AI and Tech Anxiety based on profession and age. An interesting observation was made regarding age groups within the urban millennial demographic. While there was no significant difference in attitudes towards AI and Tech Anxiety between younger (25 to 30 years old) and older (31 to 35 years old) participants, it was noted that Tech Anxiety levels were slightly higher among individuals aged between 31 to 35 than 25-30.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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