Technology-Driven Economy: Policy Suggestions For Increasing Women’s Involvement With Artificial Intelligence, Big Data, And Cloud Infrastructures

Abstract

As technology becomes increasingly embedded in every sector of the economy, promoting gender equity in artificial intelligence (AI) and related fields presents an area that can be instrumental in shaping a more equitable digital future. The current study is conducted with the prime aim of reviewing the current standing of gender parity in AI, big data, and cloud infrastructures to inspect the challenges and propose policy suggestions for increasing women’s involvement in these areas. The study is grounded upon a qualitative review design and data was collected using secondary sources to enable a comprehensive insight. The findings emerging from the thematic analysis of the body of research revealed that while there are clear benefits to increasing women’s participation in AI, big data, and cloud infrastructures, significant challenges remain. Many women still face systemic barriers, such as lack of access to education, workplace discrimination, and limited networking opportunities. The widening digital divide between men and women in many regions, particularly in the Global South, remains a formidable challenge. Hence, the policy suggestions proposed in the current study are expected to direct initiatives in this paradigm by pinpointing the key facets calling for immediate policy interventions. To put it succinctly, the review indicates that while substantial progress has been made, continued efforts are necessary to create an equitable and inclusive technology ecosystem. The recommendations drawn from existing literature provide a roadmap for stakeholders to make the tech industry more accessible and diverse.