{"id":33564,"date":"2025-12-16T13:46:23","date_gmt":"2025-12-16T08:16:23","guid":{"rendered":"https:\/\/triumphias.com\/blog\/?p=33564"},"modified":"2025-12-16T13:46:23","modified_gmt":"2025-12-16T08:16:23","slug":"bridging-ai-divide-a-sociological-perspective","status":"publish","type":"post","link":"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/","title":{"rendered":"Bridging the AI Divide: A Sociological Perspective on Inclusive AI Adoption in the Asia-Pacific"},"content":{"rendered":"<h1 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Bridging_the_AI_Divide_A_Sociological_Perspective_on_Inclusive_AI_Adoption_in_the_Asia-Pacific\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><strong>Bridging the AI Divide: A Sociological Perspective on Inclusive AI Adoption in the Asia-Pacific<\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h1>\n<h3 style=\"text-align: center;\"><span style=\"font-family: georgia, palatino, serif;\">(Relevant for Sociology Paper 1: Stratification and Mobility and Social Change in Modern Society)<\/span><\/h3>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_68 ez-toc-wrap-center counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >What's Inside this Blog!<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#Bridging_the_AI_Divide_A_Sociological_Perspective_on_Inclusive_AI_Adoption_in_the_Asia-Pacific\" title=\"Bridging the AI Divide: A Sociological Perspective on Inclusive AI Adoption in the Asia-Pacific\">Bridging the AI Divide: A Sociological Perspective on Inclusive AI Adoption in the Asia-Pacific<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#The_Digital_Divide_Structural_Inequality_in_AI_Adoption\" title=\"The Digital Divide: Structural Inequality in AI Adoption\">The Digital Divide: Structural Inequality in AI Adoption<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#AI_and_Economic_Inequality_Disruption_or_Opportunity\" title=\"AI and Economic Inequality: Disruption or Opportunity?\">AI and Economic Inequality: Disruption or Opportunity?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#AI_and_Social_Exclusion_Data_Bias_and_Marginalized_Communities\" title=\"AI and Social Exclusion: Data Bias and Marginalized Communities\">AI and Social Exclusion: Data Bias and Marginalized Communities<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#AI_Governance_Power_and_Control_in_the_Digital_Age\" title=\"AI Governance: Power and Control in the Digital Age\">AI Governance: Power and Control in the Digital Age<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#Building_an_Inclusive_AI_Future_A_Sociological_Perspective\" title=\"Building an Inclusive AI Future: A Sociological Perspective\">Building an Inclusive AI Future: A Sociological Perspective<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#Conclusion_Bridging_the_AI_Divide_for_an_Equitable_Future\" title=\"Conclusion: Bridging the AI Divide for an Equitable Future\">Conclusion: Bridging the AI Divide for an Equitable Future<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/triumphias.com\/blog\/bridging-ai-divide-a-sociological-perspective\/#Read_more_Blogs\" title=\"Read more Blogs:\">Read more Blogs:<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n<table style=\"border-collapse: collapse; width: 100%;\">\n<tbody>\n<tr>\n<td style=\"width: 100%;\">\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">In the last few years, Artificial Intelligence (AI) has emerged as one of the most transformative technologies in human history. From personalized learning in schools to real-time flood forecasting in Northeast India, AI promises to revolutionize economies and societies. However, despite the global fascination with AI, its adoption across countries, particularly in the Asia-Pacific region, is marked by stark inequalities. According to the United Nations Development Programme (UNDP), over 70% of AI users are in developing countries, but the usage rate in these countries still lags behind the affluent nations, where nearly two-thirds of people already use AI tools.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">While AI holds the potential to drive economic growth and enhance social development, it could also exacerbate existing social and economic divides. From a sociological perspective, these inequalities are not just technological\u2014they are deeply embedded in structural issues of access, power, and privilege<\/span><\/p>\n<h2 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"The_Digital_Divide_Structural_Inequality_in_AI_Adoption\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><strong>The Digital Divide: Structural Inequality in AI Adoption<\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">The digital divide is a critical issue in understanding the uneven spread of AI technologies. In a highly globalized world, the promise of AI as a tool for universal development is overshadowed by the stark <strong>socio-economic divide<\/strong> that exists within and between nations. This divide is not just about access to technology but about the unequal distribution of resources and infrastructure.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">In the Asia-Pacific region, <strong>low-income countries<\/strong> score below <strong>20%<\/strong> on the <strong>AI Preparedness Index<\/strong>, reflecting their lack of reliable electricity, internet connectivity, and data systems. <strong>Advanced economies<\/strong> like Singapore, South Korea, and China, by contrast, have already established strong digital infrastructure and regulatory frameworks, making them better positioned to leverage the AI revolution. This divide represents a deeper <strong>social inequality<\/strong> in terms of access to <strong>education<\/strong>, <strong>economic opportunities<\/strong>, and <strong>technological literacy<\/strong>.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">Sociologists have long studied how <strong>structural inequalities<\/strong>\u2014such as those based on <strong>class<\/strong>, <strong>race<\/strong>, <strong>gender<\/strong>, and <strong>geography<\/strong>\u2014shape access to resources. The advent of AI, without addressing these underlying structural factors, risks entrenching <strong>technological apartheid<\/strong>. As AI adoption becomes increasingly crucial for future economic and social success, the question arises: how do we ensure that these technologies do not leave behind already marginalized populations?<\/span><\/p>\n<h2 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"AI_and_Economic_Inequality_Disruption_or_Opportunity\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><strong>AI and Economic Inequality: Disruption or Opportunity?<\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">AI has the potential to significantly boost economic productivity, but it also poses substantial risks in terms of <strong>job displacement<\/strong>. In many low-income and developing nations, economies rely heavily on sectors like <strong>agriculture<\/strong>, <strong>manufacturing<\/strong>, and <strong>service industries<\/strong>, all of which are vulnerable to automation. A <strong>sociological lens<\/strong> on this issue focuses on the <strong>human cost<\/strong> of such economic transitions.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">In countries like <strong>India<\/strong> and <strong>Indonesia<\/strong>, <strong>informal labor<\/strong> constitutes a large portion of the workforce. Informal workers often lack the protection of labor laws, making them especially vulnerable to job displacement due to automation. This creates a <strong>precarious social condition<\/strong> where millions of workers, especially from rural or marginalized communities, face economic insecurity without the safety nets of formal employment or retraining opportunities.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\"><strong>Gender inequality<\/strong> compounds this challenge. The UNDP report highlights that <strong>female workers<\/strong> are <strong>twice as exposed<\/strong> to automation risks compared to their male counterparts. In many developing nations, women are overrepresented in sectors most vulnerable to AI-induced job losses, such as <strong>textiles<\/strong> and <strong>retail<\/strong>. This gendered dimension of AI disruption reveals a <strong>double burden<\/strong> for women in the Global South, where technological progress exacerbates both <strong>economic and gender-based inequality<\/strong>.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">Furthermore, as AI tools become integral to sectors like <strong>finance<\/strong>, <strong>healthcare<\/strong>, and <strong>education<\/strong>, the <strong>economic divide<\/strong> between those who have access to AI technologies and those who don\u2019t becomes more pronounced. <strong>Wealthy elites<\/strong> and <strong>multinational corporations<\/strong> in high-income countries are more likely to capture the <strong>AI dividend<\/strong>, while the <strong>marginalized<\/strong> and <strong>low-income populations<\/strong> in poorer nations risk being left out, contributing to <strong>global wealth disparities<\/strong>.<\/span><\/p>\n<h2 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"AI_and_Social_Exclusion_Data_Bias_and_Marginalized_Communities\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><strong>AI and Social Exclusion: Data Bias and Marginalized Communities<\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">At the heart of the AI revolution is <strong>data<\/strong>\u2014the raw material that powers machine learning algorithms. However, <strong>data exclusion<\/strong> is a significant issue, particularly for marginalized communities in the Asia-Pacific region. <strong>Rural populations<\/strong>, <strong>ethnic minorities<\/strong>, and <strong>women<\/strong> in South Asia are often <strong>underrepresented<\/strong> in the datasets used to train AI models. This exclusion leads to <strong>AI systems<\/strong> that may not only be ineffective for these groups but may actively perpetuate social inequalities.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">For example, <strong>women in South Asia<\/strong> are <strong>40% less likely<\/strong> than men to own a smartphone, which directly limits their access to AI-powered services and technologies. Similarly, <strong>rural populations<\/strong> in countries like <strong>India<\/strong> and <strong>Vietnam<\/strong> are often absent from <strong>AI training datasets<\/strong>, leading to systems that fail to account for the unique challenges they face in areas like <strong>healthcare<\/strong>, <strong>education<\/strong>, and <strong>agriculture<\/strong>.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">The <strong>marginalization of certain groups<\/strong> in AI systems also has profound sociological implications. <strong>Exclusion<\/strong> from digital systems translates into <strong>social exclusion<\/strong>, where marginalized communities are denied access to opportunities for economic advancement, political participation, and social mobility. <strong>Bias in AI algorithms<\/strong>\u2014whether it\u2019s in hiring practices, credit scoring, or public service delivery\u2014reinforces existing power imbalances and systemic discrimination.<\/span><\/p>\n<h2 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"AI_Governance_Power_and_Control_in_the_Digital_Age\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><strong>AI Governance: Power and Control in the Digital Age<\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">The power dynamics of AI governance are another sociological concern. Who controls AI technology, and who benefits from it? In countries like <strong>China<\/strong>, <strong>Singapore<\/strong>, and <strong>South Korea<\/strong>, AI is increasingly integrated into <strong>governance<\/strong>\u2014from <strong>traffic management<\/strong> in <strong>Bangkok<\/strong> to <strong>urban flood simulation<\/strong> in <strong>Beijing<\/strong>. However, these advancements also raise questions about <strong>surveillance<\/strong> and <strong>authoritarianism<\/strong>.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">Sociologists like <strong>Michel Foucault<\/strong> have explored the concept of <strong>power<\/strong> in relation to technological control. In the context of AI, the <strong>state\u2019s role in regulating and using AI<\/strong> is critical. For example, the <strong>Traffy Fondue platform<\/strong> in <strong>Bangkok<\/strong> processes <strong>600,000 citizen reports<\/strong> efficiently, but it also gives the government a tool to <strong>monitor<\/strong> and <strong>control<\/strong> public behavior. Similarly, <strong>China\u2019s digital twin systems<\/strong> model urban environments in real time, but they also raise concerns about <strong>surveillance<\/strong> and <strong>state control<\/strong> over the lives of citizens.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">The <strong>opacity<\/strong> of many AI systems, especially those used by <strong>private corporations<\/strong> and <strong>governments<\/strong>, raises further sociological concerns about <strong>accountability<\/strong> and <strong>transparency<\/strong>. Who is responsible when AI systems make biased decisions or fail to account for diverse populations? Without strong governance frameworks, AI has the potential to concentrate <strong>power<\/strong> in the hands of a few <strong>global tech companies<\/strong> and <strong>authoritarian states<\/strong>, perpetuating <strong>social inequality<\/strong> and <strong>disempowerment<\/strong>.<\/span><\/p>\n<h2 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Building_an_Inclusive_AI_Future_A_Sociological_Perspective\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><strong>Building an Inclusive AI Future: A Sociological Perspective<\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">To build a truly <strong>inclusive AI future<\/strong>, we must address both the <strong>technological<\/strong> and <strong>sociological<\/strong> barriers to equitable AI adoption. This requires a multi-faceted approach:<\/span><\/p>\n<ol style=\"text-align: justify;\">\n<li><span style=\"font-family: georgia, palatino, serif;\"><strong>Access to Technology<\/strong>: Ensuring <strong>affordable internet<\/strong>, <strong>electricity<\/strong>, and <strong>digital infrastructure<\/strong> for marginalized communities is foundational. This would require <strong>government intervention<\/strong> and international cooperation to bridge the <strong>digital divide<\/strong>.<\/span><\/li>\n<li><span style=\"font-family: georgia, palatino, serif;\"><strong>Data Inclusion<\/strong>: AI models must be trained on <strong>diverse datasets<\/strong> that represent the <strong>needs<\/strong> and <strong>experiences<\/strong> of marginalized groups. This includes ensuring that women, rural populations, and ethnic minorities are <strong>represented<\/strong> in the data that powers AI systems.<\/span><\/li>\n<li><span style=\"font-family: georgia, palatino, serif;\"><strong>Gender and Economic Equity<\/strong>: AI policies must prioritize <strong>gender-sensitive<\/strong> and <strong>inclusive economic strategies<\/strong>. This includes providing retraining and reskilling opportunities for workers in vulnerable sectors and ensuring that women and marginalized communities have equal access to AI-driven opportunities.<\/span><\/li>\n<li><span style=\"font-family: georgia, palatino, serif;\"><strong>AI Governance and Regulation<\/strong>: Strong <strong>regulatory frameworks<\/strong> are needed to ensure that AI systems are <strong>transparent<\/strong>, <strong>accountable<\/strong>, and <strong>fair<\/strong>. This includes developing <strong>ethical guidelines<\/strong> for AI deployment and holding both <strong>private companies<\/strong> and <strong>governments<\/strong> accountable for the social impact of AI.<\/span><\/li>\n<\/ol>\n<h2 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Conclusion_Bridging_the_AI_Divide_for_an_Equitable_Future\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><strong>Conclusion: Bridging the AI Divide for an Equitable Future<\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">The future of AI holds both <strong>promise<\/strong> and <strong>peril<\/strong> for the Asia-Pacific region. While AI has the potential to transform societies and economies, it also risks exacerbating existing <strong>social divides<\/strong> if not adopted inclusively. From a <strong>sociological perspective<\/strong>, the challenge lies not only in the <strong>technology<\/strong> itself but in the <strong>social structures<\/strong> that shape access to and benefits from AI. To ensure that AI serves as a tool for <strong>social equity<\/strong> and <strong>economic inclusion<\/strong>, policymakers, technologists, and civil society must work together to bridge the <strong>AI divide<\/strong> and create a future that works for everyone, especially the most marginalized communities.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif;\">By addressing the structural inequalities that underlie the digital divide, we can ensure that AI fulfills its potential as a force for <strong>inclusive growth<\/strong>, <strong>social justice<\/strong>, and <strong>sustainable development<\/strong> in the Asia-Pacific region and beyond.<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-family: georgia, palatino, serif;\"><strong><span class=\"amp-wp-303d451\" data-amp-original-style=\"font-family: 'times new roman', times, serif;\">To Read more topics<\/span><span class=\"amp-wp-303d451\" data-amp-original-style=\"font-family: 'times new roman', times, serif;\">,\u00a0<\/span><\/strong><span class=\"amp-wp-303d451\" data-amp-original-style=\"font-family: 'times new roman', times, serif;\"><strong>visit:<\/strong>\u00a0<a href=\"https:\/\/triumphias.com\/blog\/?amp=1\">www.triumphias.com\/blogs<\/a><\/span><\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Read_more_Blogs\"><\/span><span style=\"font-family: georgia, palatino, serif;\"><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span><span id=\"Read_more_Blogs\" class=\"ez-toc-section\"><\/span>Read more Blogs:<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<blockquote class=\"wp-embedded-content\" data-secret=\"kOtBVxVG2k\"><p><a href=\"https:\/\/triumphias.com\/blog\/mahatma-jyotiba-phule\/\">Mahatma Jyotiba Phule: Reimagining Social Justice, Caste, and Education in 19th-Century India<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;Mahatma Jyotiba Phule: Reimagining Social Justice, Caste, and Education in 19th-Century India&#8221; &#8212; TriumphIAS\" src=\"https:\/\/triumphias.com\/blog\/mahatma-jyotiba-phule\/embed\/#?secret=gJXcDPx0o9#?secret=kOtBVxVG2k\" data-secret=\"kOtBVxVG2k\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bridging the AI Divide: A Sociological Perspective on Inclusive AI Adoption in the Asia-Pacific (Relevant for Sociology Paper 1: Stratification<\/p>\n","protected":false},"author":1,"featured_media":33565,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[115],"tags":[14672,14670,14673,5031,12581,14674,14671,14123,14675],"class_list":["post-33564","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sociology-optional-paper-i","tag-ai-and-social-inclusion","tag-ai-divide-asia-pacific","tag-ai-policy-asia-pacific","tag-digital-divide","tag-digital-inequality","tag-ethical-ai","tag-inclusive-ai-adoption","tag-sociology-of-technology","tag-technological-inequality"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/posts\/33564","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/comments?post=33564"}],"version-history":[{"count":1,"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/posts\/33564\/revisions"}],"predecessor-version":[{"id":33566,"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/posts\/33564\/revisions\/33566"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/media\/33565"}],"wp:attachment":[{"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/media?parent=33564"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/categories?post=33564"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphias.com\/blog\/wp-json\/wp\/v2\/tags?post=33564"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}