Attitude Towards Artificial Intelligence And Tech Anxiety Among Working Professionals In Metropolitan Cities
Creators
- 1. Student, Department of Psychology, Kristu Jayanti College, Bangalore (Karnataka), India.
- 1. Student, Department of Psychology, Kristu Jayanti College, Bangalore (Karnataka), India.
- 2. Assistant Professor, Department of Psychology, Kristu Jayanti College, Bangalore (Karnataka), India.
Description
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 AI-driven 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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Additional details
Identifiers
- DOI
- 10.54105/ijainn.D1089.04040624
- EISSN
- 2582-7626
Dates
- Accepted
-
2024-06-15Manuscript received on 09 April 2024 | Revised Manuscript received on 21 April 2024 | Manuscript Accepted on 15 June 2024 | Manuscript published on 30 June 2024.
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