Extending Blockchains with AI for Risk Management

Talk by Prof. Raj Jain at ACM Student Chapter, Washington University in St. Louis, October 19, 2021

Abstract Blockchains has found numerous applications in Fintech, Supply chains, and contracts because it is an ideal distributed consensus where all nodes agree on the validity of transactions in a block without needing a central trusted party. The consensus is binary - agree or disagree - True or False. In this era of big data, we need to move blockchains beyond data storage to provide knowledge. In the real world, there are many situations in which various participants may not fully agree, and their opinions may be probabilistic, leading to probabilistic agreements. In this talk, Prof. Jain will present recent extensions using AI that allow blockchains to be used for group decisions that may not be binary. These extensions enable blockchains to be used for group decision making and risk management when the group sizes are large, and group members may want to remain anonymous. In particular, Prof. Jain will describe numerous use cases of this idea. Such situations frequently arise in network security and risky investments.

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