Centre for the Governance of AI (GovAI)
Aquila Hassan is a Project Management Specialist at the Centre for the Governance of AI (GovAI) since August 2022, previously holding the title of Operations Associate. Prior experience includes working as a Bridge Engineer at Mott MacDonald, where detailed design work on a three-span steel composite bridge and structural analyses for HS2 were conducted. As a Structural Engineer in Transportation at AECOM, significant contributions were made to the design of Perth Metroline bridges and reinforced concrete structures for the Thames Tideway Tunnel, along with analysis for the Riyadh Metro Line and wind loads for the Msikaba River bridge. Earlier roles include a Mechanical Engineering Summer Placement at Ricardo plc and summer placements at Sanken Constructions and Innowave Engineering, where engineering drawings and site survey protocols for hydro meteorological instrument stations in Sri Lanka were developed. Aquila Hassan earned a Master of Engineering (MEng) in Mechanical Engineering from the University of Cambridge, graduating in 2018.
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Centre for the Governance of AI (GovAI)
We are building a global research community, dedicated to helping humanity navigate the transition to a world with advanced AI. AI has the potential to be a radically transformative technology. Continued progress could bring profoundly important benefits, including major scientific advances and reductions in illness and poverty. However, this progress could also bring substantial risks. Research is urgently needed to understand the implications of advanced AI. Ultimately, we believe, positive outcomes may require the development of new global norms, policies, and institutions. Our research community is guided by our Research Agenda and Theory of Impact, drawing on Political Science, Computer Science, Economics, Law, and Philosophy. Our work aims to define and map the field of AI governance, and address the most important and neglected research questions. Our fellowships and prizes support promising early-career researchers working on AI governance. We run seminars and conferences to better connect the field of AI governance and build a thriving global research community. You can read more about our work at www.governance.ai