About this Video
We trust our lives to uncertain forces: whether we rely on weather patterns, the stock exchange, or the gig economy for our livelihoods, we have little control over how our labor is valued once it leaves our hands. Neil points out, however, that we do have control over how we value others’ labor. The interconnected nature of an economy that relies on people’s valuation of each other can be a springboard to end inequality if we just put a little trust in one another. How can we re-engineer and re-imagine the next generation of markets?
About the Speaker
Neil Gaikwad is a doctoral scholar at the Massachusetts Institute of Technology, specializing in human-compatible AI and public policy for sustainable systems. His research focuses on the design, implementation, and governance of human-compatible AI and social computations to inform equitable public policy decisions underpinning sociotechnical systems in low-resource environments to create a sustainable world. Neil’s research has been published in premier artificial intelligence and human-computer interaction conferences and featured in the New York Times, Bloomberg, WIRED, and Wall Street Journal. Besides, his work has resulted in deployable open-source systems, environmental art exhibitions, and technical talks at global policymaking forums of the United Nations and the European Union. Before MIT, Neil had a data science career in qualitative finance and market research on Wall Street.
Neil is committed to increasing diversity and belonging in science, technology, and policymaking. He partners with researchers, practitioners, and organizations worldwide to design Artificial Intelligence and development policies for improving access to opportunities for historically underserved and disadvantaged communities. Neil was one of the core members of the Stanford Crowd Research Initiative and MIT’s Innovating for Billions in Emerging Worlds Leadership Council. He has mentored over 20 students, who have gone on to win prestigious awards, pursue careers in research, and publish influential scholarship that has shifted the discourse on AI fairness.
Neil’s research, teaching, and professional service have been recognized worldwide. Among his awards are the Facebook Research Ph.D. Fellowship, INK Fellow Emerging Innovator Award, William Asbjornsen Albert Memorial Fellowship (awarded to one MIT student researching modern science and engineering), MIT Graduate Teaching Award (presented annually to one MIT professor or teaching assistant from each school for excellence in teaching a graduate-level course), the Karl Taylor Compton Prize (MIT’s highest student award).
Learn more Neil Gaikwad at web.media.mit.edu/~gaikwad/
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