首页|Data from Jouf University Broaden Understanding of Artificial Intelligence (Does the Impact of Artificial Intelligence on Unemployment Among People With Disabil ities Differ by Educational Level? A Dynamic Panel Threshold Approach)

Data from Jouf University Broaden Understanding of Artificial Intelligence (Does the Impact of Artificial Intelligence on Unemployment Among People With Disabil ities Differ by Educational Level? A Dynamic Panel Threshold Approach)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting from Sakaka, Saudi Ar abia, by NewsRx journalists, research stated, "Artificial intelligence (AI) tech nologies can significantly influence the employment and career development of pe ople with disabilities, presenting both opportunities and challenges." Funders for this research include King Salman Center For Disability Research. The news reporters obtained a quote from the research from Jouf University: "On the one hand, AI can enhance accessibility, create new job opportunities, and as sist in skill development. On the other hand, it can lead to potential job displ acement and exacerbate barriers if not implemented inclusively. The objective of this research is to explore the implications of different artificial intelligen ce measures (artificial intelligence, machine learning, data science, big data) and unemployment among disabled people with different educational levels (primar y, secondary, tertiary). The first difference generalized method of moments with threshold model confirms the nonlinear linkages between AI and unemployment. Mo re specifically, AI reduces the unemployment rate among people with disability o nly in the upper regime, particularly for those with secondary and tertiary educ ational levels. For unemployed disabled people with primary education, there is little evidence of the role of AI in lowering unemployment in both regimes."

Jouf UniversitySakakaSaudi ArabiaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.4)