I'm a graduate student in the Scalable Cooperation research group led by Iyad Rahwan at the MIT Media Lab. My research interests broadly include application of computational cogntive models of ethics and human interaction for analysis of complex socio-technical systems.
Prior to coming back to academia, I worked as an investment banking analyst for 3 years followed by 3 years as an equity research analyst. I left the industry to study computer science and applied mathematics. Today, I leverage my experience in finance and newly acquired knowledge in AI and machine learning to make positive socially impact.
The Moral Machine is a web application built to collect and analyze human perceptions of moral dilemmas involving autonomous vehicles. Using human generated moral judgments, we analyze cross-cultural differences in perceptions of moral dilemmas and propose computational models of human moral decision making as a step toward building AI system capable of making real world decisions with human moral values.
Visit Moral Machine.
Human computation system, often popularly referred to as crowdsourcing, requires the alignment of the incentives of human participants to report truthfully and an effective mean to deal with noise in the human-generated data. Here I introduce a new class of peer prediction mechanisms called empirical peer prediction mechanisms that represent an unified approach to resolving the incentive alignment and noisy-data challenges in human computation systems.
Edmond Awad, Sohan Dsouza, Richard Kim, Jonathan Schulz, Joseph Henrich, Azim Shariff, Jean-François Bonnefon, Iyad Rahwan. The Moral Machine Experiment: 38 Million Decisions and the Path to Universal Machine Ethics.
Richard Kim, Niccolo Pescetelli, Max Kleiman-Weiner, Edmond Awad, Sohan Dsouza, Joshua Tenenbaum, Iyad Rahwan. Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices.
Richard Kim, Max Kleiman-Weiner, Andr\'es Abeliuk, Edmond Awad, Sohan Dsouza, Joshua Tenenbaum, Iyad Rahwan. A Computational Model of Commonsense Moral Decision Making [link]
Richard Kim*, Bjarke Felbo*, Nick Obradovich and Iyad Rahwan. Quantifying structural factors affecting racial tensions during 2016 US presidential election. International Conference on Computational Social Science (IC2S2) 2017. [pdf]