ISLAMABAD, Aug 19 2025 – The National University of Sciences and Technology (NUST) has taken a
pioneering role in advancing Ethical and Inclusive Artificial Intelligence (AI) in Pakistan by hosting a high-
level multistakeholder dialogue titled “Ethical AI for All”, organized in partnership with The Inclusion Lab
and Digital Intellix 4PL, the event convened policymakers, industry leaders, innovators, and UN
representatives at NUST’s Deep Learning Lab (DLL) to discuss strategies for eliminating bias, enhancing
diversity, and ensuring AI benefits reach all segments of society—especially rural and marginalized
communities.
The session opened with remarks from Dr. Irtiza, Principal SINES, who set the stage for a forward-looking
discussion on responsible AI development. Keynote speaker Mr. Julian Gorman, Head of GSMA Asia
Pacific, emphasized the urgent need for robust digital infrastructure to make inclusive AI a reality. Ms.
Afke Bootsman provided the United Nations’ perspective on ethical AI frameworks, while Mr. Michael
Schulz, Advisor & Board Director at The Inclusion Lab, outlined nine critical governance priorities for
fostering inclusive AI systems.
Representing NUST’s leadership in AI innovation, Dr. Faisal Shafait and Dr. Momina Moetesum
showcased the university’s cutting-edge research and collaborative projects aimed at embedding ethics
and fairness into AI solutions. The dialogue also featured active participation from industry giants,
including Ericsson, Telenor, Ignite, Oracle, Mercurial Minds, and Khan Academy Pakistan, reinforcing the
importance of cross-sector collaboration in shaping Pakistan’s AI future.
Aligned with the recently approved National AI Policy 2025, the event served as a pivotal platform for
strengthening partnerships between academia, industry, and government to ensure AI advancements
are ethical, inclusive, and transformative for all citizens. NUST remains committed to driving innovation
that prioritizes social impact and equitable progress, solidifying its position as a national leader in
responsible AI development.
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