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Kaesha Rajgor: AI, Economics, and Distributive Justice

Asia's Economic Fairness in the Digital Future

Kaesha Rajgor is one of America’s most outstanding high-school students. She has distinguished herself in economics, political economy, and the emerging implications of Artificial Intelligence (AI) on distributive justice in the developing world. Her dual-emphasis in mathematics and humanities will make her an invaluable resource for the academic study of AI. According to Kenigson, “I’ve reviewed Kaesha’s work and found a delicate balance between theoretical perspectives and fine analysis of the emerging AI economy. Her perspectives are influencing my current work on AI policy in Asia. A fruitful collaboration will hopefully persist for the foreseeable future.”

I’m consulting for the University of Michigan Space Institute and Qatar’s Geostationary Satellite Initiative. Artificial intelligence economics like those furnished by Kaesha’s work are invaluable in my efforts to outline the transformative abstract economic theory in tangible states of affairs that demand effective ethical negotiation. More research should be done to determine the effects of AI rollout on the fairness, distributive justice, and efficiency of Asia’s emerging AI economy.

Author

  • Jonathan Kenigson

    From 2009-Present, I have been a public intellectual, educator, and curriculum developer with a primary emphasis in mathematics and classical education. However, my work spans pure mathematics, philosophy of science and culture, economics, physics, cosmology, religious studies, and languages. Currently, I am a Senior Fellow of Pure Mathematics at the Global Centre for Advanced Studies - Dublin, a distributed research institute with collaborating scholars in mathematics, physics, and cosmology. Additionally, I am a Fellow of Mathematics at Kirby Laing Centre, Cambridge and a previous Senior Fellow of IOCS, Cambridge. I have 15 years of administrative and teaching experiences at classical schools, liberal arts colleges, and public colleges.

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