Publication | Open Access
How generative artificial intelligence technologies shape partial job displacement and labor productivity growth
78
Citations
3
References
2023
Year
Artificial IntelligenceEngineeringMachine LearningAi FoundationEducationIntelligent SystemsTechnological UnemploymentProductivityPartial Job DisplacementAi ArchitectureData ScienceMechanical Artificial IntelligenceIndustrial InformaticsGenerative Artificial IntelligenceWorkforce ProductivityGenerative ModelsComputer ScienceLabor Force TrendDeep LearningApplied Artificial IntelligenceChanging WorkforceDeep Neural NetworksDigital Twin TechnologiesLabor ProductivityAutomationIndustrial Artificial IntelligenceGenerative AiTechnologyLabor Productivity GrowthUnemployment
How generative artificial intelligence technologies shape partial job displacement and labor productivity growthBy computational processes, immersive reality and digital twin technologies, generative artificial intelligence tools can automate artistic creative production and labor, transforming and redefining employment, tasks, and jobs by use of synthetic media and data.Machine and deep learning industrialization can augment decision-making by using a real-time, trustworthy, accurate data fabric architecture, and can achieve operational excellence through cloud and edge computing tools, demand sensing and forecasting, and computer vision and natural language processing algorithms.Machines can perform tasks autonomously by use of deep learning and augmented reality technologies, computer vision algorithms, and natural language processing tools, elevating productivity on factory floors through
| Year | Citations | |
|---|---|---|
Page 1
Page 1