首页|Study Data from Princess Nourah Bint Abdulrahman University Update Knowledge of Artificial Intelligence (The impact of artificial intelligence on women’s empowe rment, and work-life balance in Saudi educational institutions)
Study Data from Princess Nourah Bint Abdulrahman University Update Knowledge of Artificial Intelligence (The impact of artificial intelligence on women’s empowe rment, and work-life balance in Saudi educational institutions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting from Riyadh, Saudi Arabi a, by NewsRx journalists, research stated, “Gender prejudice and stereotypes are prevalent in the workplace, particularly for women in the Artificial Intelligen ce (AI) industry, where they can significantly hinder professional development a nd limit prospects for growth. These challenges contribute to the underrepresent ation of executives in AI.” Our news journalists obtained a quote from the research from Princess Nourah Bin t Abdulrahman University: “However, with the right measures, these barriers can be overcome, leading to a more inclusive and diverse AI industry. Women in this demanding technological domain often face additional difficulties in achieving a work-life balance, further constraining their professional advancement and enga gement in the industry. This research aims to examine the implications of AI cap abilities on work-life balance and the empowerment of female faculty members in enhancing the efficiency of educational institutions. The research performs a st ructural equation modeling (SEM) approach, using a survey conducted on female fa culty of Saudi Arabian universities. The study specifically considers moderating variables such as age, education level, experience, and marital status. The fin dings, which reveal that AI managerial capability, as well as AI infrastructure agility, impacts work-life balance and empowerment of women faculties in educati onal institution efficiency, underscore the significance of considering demograp hic factors when analyzing women’s empowerment and work-life balance as outcomes .”
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