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Turning to the international dimension, Muhammad Faizan Fakhar examined AI governance approaches adopted by the US, China, and the European Union, highlighting their differing priorities. He cautioned that global AI competition increasingly revolved around technological ecosystems, including semiconductors, computing hardware, and supply chains. He stressed the importance of strengthening indigenous capabilities, protecting data sovereignty, retaining skilled professionals, and independently evaluating AI systems. He also highlighted cybersecurity risks associated with dependence on foreign technologies and outdated government infrastructure.<\/p>\n\n\n\n
Moving from technological preparedness to its broader socioeconomic implications, Yasir Riaz observed that technological transformation was inevitable and required proactive adaptation. Drawing parallels with industrialization and the emergence of the internet, he noted that AI would reshape economies and societies while potentially displacing entry-level and middle-skilled workers. He cautioned that its benefits could remain concentrated among highly skilled groups, raising concerns about economic inequality, social structures, and ethical values. He underscored the importance of reliable data systems for ensuring accurate AI outputs.<\/p>\n\n\n\n
In his concluding remarks, Khalid Rahman emphasized that AI governance requires an ethical framework grounded in human purpose and accountability. He distinguished between compliance driven by external surveillance and ethical conduct rooted in personal responsibility. He cautioned against allowing algorithms and data-driven systems to determine ethical standards independently, stressing the importance of preserving moral and religious foundations. He maintained that technological advancement should ultimately serve human welfare, development, and peace rather than merely material interests.<\/p>\n\n\n\n
The seminar underscored the need for a proactive national approach that brings together sound governance, technological preparedness, institutional responsibility, and a clearly defined ethical direction.<\/p>\n\n\n\n
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ISLAMABAD: Pakistan needs a practical and context-specific artificial intelligence (AI) governance framework that balances technological innovation with national security, data sovereignty, economic priorities, resource constraints, and ethical considerations. The country must move beyond policy announcements toward measurable implementation, strengthen indigenous technological capabilities, and ensure that AI development serves human welfare. The framework must also address […]<\/p>\n","protected":false},"author":2,"featured_media":2679,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[11,12,8],"tags":[37],"class_list":["post-2678","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-latest","category-pakistan","category-technology","tag-ai"],"yoast_head":"\n