Artificial intelligence

Building the Exponential Law Firm

Unleashing Artificial Intelligence’s True Potential

ILTACON 2016

National Harbor, Maryland

August 29th 2016

Rohit Talwar

CEO

Fast Future

Contents

Presentation p 4

About Fast Future p 83

Background Notes p 96

Slide Sources p 410

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Tomorrow’s Agenda

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When Two

Worlds Collide A

Digitized

Society With a

Global Brain

A

Physical

& Local

World

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What’s all the Fuss About –

What is Artificial Intelligence?

Artificial intelligence (AI) is an area of

computer science that emphasizes the

creation of intelligent machines that

work and react like humans. E.g.

Speech recognition, visual perception,

learning, reasoning, inference,

strategising, planning, intuition,

decision-making, and language

translation.

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Unique Opportunity and Existential Risk?

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A US$650 Billion Market at Risk?

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Or a US$78-120 Trillion Opportunity?

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AI - A Brief History

• June 1945 - Vannevar Bush "As We May Think" – Argues to

Redirect scientific efforts from destruction towards understanding.

Suggests need for a “memex” collective memory machine to make

knowledge more accessible, and transform an information

explosion into a knowledge explosion.

• 1950 - Alan Turing paper Computing Machinery and Intelligence ‘I

propose to consider the question, 'Can machines think?’ Proposes

the “Turing Test” of a machine's ability to exhibit intelligent

behavior equivalent to, or indistinguishable from, that of a human

• 1956 - term 'Artificial Intelligence‘ created at a Dartmouth College

conference

• 1956–74 - “Golden Years” – funding boom - reasoning, NLP,

micro-worlds

• 1974-80 – First AI Winter

• 1980-87 – Boom – expert systems, knowledge, Japan’s 5th

Generation Project

• 1987-93 – Second AI Winter

• 1993 to Present – Progress, Embedding, Explosion

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AI - The Last 25 Years

• 1991 - Gulf War DARPA's DART scheduling app pays back 30 year

funding of AI

• 1997 - IBM Deep Blue chess machine defeats world champion,

Garry Kasparov.

• 1998 - Tiger Electronics' Furby released, first successful domestic

AI application

• 2004 - DARPA Grand Challenge competition to build autonomous

vehicles

• 2007-Present – Advances in Machine Learning (ML) / Deep

Learning enable machines to learn on their own, advance and

adapt. Growing focus on unaided/unassisted learning

• 2010-Present –Improvement in image recognition, interpretation

and anomaly detection – rivals humans capabilities - facial

recognition / object identification

• 2011 IBM Watson wins Jeopardy – combines NLP, ML, big data.

• 2011-12 Siri/Google reshaping human-machine and human-data

interaction

• 2015 – Growth of AI Apps, large tech firms and corporates

investing heavily, universities adding AI courses, IBM working with

over 150 partners to offer cognitive computing curricula to business

and technology students.

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AI is Enabling a Business

Concept Revolution

A Number of AI Based Legal Offerings are Emerging

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We can Learn Lessons from FinTech

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