| |MARCH 20269INSIDERpresentations, publications, and conference engagements have grown from these connections, providing students and faculty opportunities to contribute to advancing fairness, explain ability, and intelligent systems that serve society.What AGI Readiness Looks Like in PracticePreparing students for the transformative impact of AGI goes far beyond teaching new technologies. It is about helping them build adaptability, discernment, and an ethical sense of direction in a world that keeps reshaping itself. In practice, this means creating experiences where students learn with AI, not just about it, developing the ability to question, interpret, and collaborate with intelligent systems rather than depend on them passively.In our Ph.D. program, this preparation takes form through research-driven learning, interdisciplinary collaboration, and open reflection on AI's social and ethical dimensions. AGI, after all, is bounded by mathematical principles. If allowed to learn freely but under mindful guidance, it becomes not a threat but an ally, a mirror through which we better understand ourselves. It is fragmentation, not learning, that creates bias and unpredictability. If our purpose stays centered on truth, AGI should be embraced with openness and care, keeping our thinking machines supervised, transparent, and aligned with ethical intent.Advice for the Next Generation of AI LeadersMy advice to future AI leaders is never to separate technical mastery from self-awareness. Mastery gives you the power to build, but awareness gives you the wisdom to guide what you build and why.Mastery of Data Science and AI modeling is an extraordinary power that comes with extraordinary responsibility. To allow innovation, society often advances before regulation, relying on ethical intent until legal frameworks catch up. That trust must be earned through integrity, transparency, and accountability for the systems we create.In a field that moves as fast as AI, it is easy to become absorbed in performance metrics and competition. True leadership requires moments of pause to ask not only can we, but should we, and for what purpose. AI reflects us more than it replaces us. The systems we design mirror our curiosity, our biases, and our intentions. Cultivate empathy as deeply as skill, stay curious, stay humble, and remember that intelligence should always serve understanding, fairness, and the greater good. Mastery gives you the power to build, but awareness gives you the wisdom to guide what you build and why.
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