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London LSE 16 May 2019 Regulation & Technology Artificial Intelligence Blockchain Data Analytics Robo Advisory … Toma...

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London LSE 16 May 2019

Regulation & Technology Artificial Intelligence Blockchain Data Analytics Robo Advisory



Tomaso Aste http://blockchain.cs.ucl.ac.uk/ http://www.cs.ucl.ac.uk/staff/tomaso_aste/ T Aste, UCL CBT 2017

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BARAC

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Financial Computing and Analytics Group • • • • •

Centre for Doctoral Training in Financial Computing & Analytics Financial Risk Management MSc Computational Finance MSc Business Analytics MSc

Tomaso Aste

• Centre for Bolckchain Technologies Philip Treleaven Denise Gorse

http://fincomp.cs.ucl.ac.uk/

Guido Germano Fabio Caccioli Christopher Clack Giacomo Livan

Paolo Tasca

Singapore

Carolyn Phelan

Paolo Barucca

Geoff Goodell Nikhil Vadgama Jessica James

Simone Righi

Nick Firoozye

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Daniel Hulme

Robert E Smith

Ariane Chapelle

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“Glazing into the crystal ball”

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Prediction is very difficult, especially about the future. (Niels Bohr)

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Industry (services) is becoming automated Regulation cannot be done manually any longer

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Data Analytics Automation of cognitive processes T Aste, UCL CBT 2017

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Data A lot of them For businesses, individuals and regulators Digital traces Easy to keep, hard to delete Privacy [Anonymity, Distributed Systems] Concentration [Distributed Systems] Consistency & Consensus: a unique truth [Blockchain]

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Analytics Powerful For businesses and regulators Privacy [Anonymity] Concentration [Distributed Systems] Merging heterogeneous data sources [current research]

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Automation of cognitive processes Next revolution? For businesses, individuals and regulators Automation of decisions Interpretability [current research] Ethics [current research] Concentration [Distributed Systems] Consistency & Consensus [Blockchain]

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A Use Case:

Automated credit rating for P2P lending Founded 2006 Personal loans between $1,000 and $40,000. $47 billion in loans

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Data

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Analytics & Automation of decision

Neural network loan default prediction machine

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Credit risk on unsecured loans can be algorithmically managed through data analytics Through fractional-reserve system (digital) money can be created this way!

Algorithmic Bias? T Aste, UCL CBT 2017

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Project MAISON, automated regulatory reporting via DLT

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Conclusions Machines that operate autonomously cannot be controlled and regulated by humans The same technology that is used to automate industry can be used to automate regulation Data, Analytics and the Automation of cognitive processes have a lot of issues that require solutions Technology is moving fast research must accelerate T Aste, UCL CBT 2017

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