AIMC Topic: Unemployment
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Exploring the impact of AI on unemployment for people with disabilities: do educational attainment and governance matter?
Frontiers in public health
Apr 2, 2025
The current study investigates the impact of artificial intelligence (AI) on unemployment among people with disabilities, focusing on the mediating role of education and the moderating effect of governance quality. Using panel data from 27 high-tech ...
Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach.
PloS one
Dec 26, 2024
This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including...
The relationship between artificial intelligence anxiety and unemployment anxiety among university students.
Work (Reading, Mass.)
Nov 22, 2024
BackgroundThe idea that people will lose their jobs because of robots with artificial intelligence is one of the biggest recent concerns about artificial intelligence technology. There are predictions that unemployment will increase with the introduc...
Exploring predictors of substance use disorder treatment engagement with machine learning: The impact of social determinants of health in the therapeutic landscape.
Journal of substance use and addiction treatment
Jun 8, 2024
BACKGROUND: Improved knowledge of factors that influence treatment engagement could help treatment providers and systems better engage patients. The present study used machine learning to explore associations between individual- and neighborhood-leve...
Modelling for disability: How does artificial intelligence affect unemployment among people with disability? An empirical analysis of linear and nonlinear effects.
Research in developmental disabilities
Apr 24, 2024
There is a growing debate among scholars regarding the impact of artificial intelligence (AI) on the employment opportunities and professional development of people with disability. Although there has been an increasing body of empirical research on ...
The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
The Journal of applied psychology
Oct 10, 2022
Robots are transforming the nature of human work. Although human-robot collaborations can create new jobs and increase productivity, pundits often warn about how robots might replace humans at work and create mass unemployment. Despite these warnings...
Prediction of Labor Unemployment Based on Time Series Model and Neural Network Model.
Computational intelligence and neuroscience
Jun 3, 2022
With the advent of big data, statistical accounting based on artificial intelligence can realistically reflect the dynamics of labor force and market segmentation. Therefore, based on the combination of machine learning algorithm and traditional stat...
Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms.
Scientific reports
Dec 10, 2020
The nature of the recovery process of posttraumatic stress disorder (PTSD) symptoms is multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP), which was developed to detect significant combinational risk factors com...
Psychological reactions to human versus robotic job replacement.
Nature human behaviour
Aug 5, 2019
Advances in robotics and artificial intelligence are increasingly enabling organizations to replace humans with intelligent machines and algorithms. Forecasts predict that, in the coming years, these new technologies will affect millions of workers i...
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