Alejandro Noriega Campero's endeavor focuses on AI-powered solutions that revolutionize targeting systems that deliver services to low-income populations. His project joins deep contextual knowledge with cutting-edge AI and emphasizes both fairness and efficiency in large-scale algorithmic decision-making systems. The vision driving Alejandro’s career is to bridge academic breakthroughs in AI with their sensible application for the public good. He co-leads the annual Meeting on Artificial Intelligence and its Applications (RIIAA.org) in Mexico. In the past four years, as a PhD candidate and researcher in Sandy Pentland’s group at the MIT Media Laboratories, Alejandro conducted applied research projects with the United Nations’ Big Data initiative (Global Pulse), the Inter-American Development Bank (IDB), the national governments of Mexico, Colombia, Andorra, and Saudi Arabia, as well as several partners in industry. Alejandro’s background includes a masters in Technology and Policy at MIT’s IDSS, and two years of experience as consultant in the Mexican energy and infrastructure sector. He was born and raised in Mexico City, is an alumnus of ITAM, and a Fulbright Fellow since 2013.
22 - 24 April 2020
Buenos Aires, Argentina
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