ai & machine learning · 2019-10-31 · ai & machine learning fsm 10th annual conference...

AI & MACHINE LEARNINGFSM 10th Annual Conference – Towards the 4th Industrial Revolution

October 27-29, 2019 in Yerevan, Armenia

Gailina Liew BSc LLB MBA

© 2019 Gailina Liew FSM 10th Annual Conference - Towards the 4th Industrial Revolution, Yerevan, Armenia

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Search

Social/Info

Shopping/Travel

EntertainmentAssistant


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“Can machines think?”

“Artificial Intelligence” term coined

Artificial Intelligence

Machine Learning

Deep Learning (neural

networks) +

Many more algorithm

types

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Following instructions

Learning & improving through experience

(without explicit programming)

Moving beyond human experience

Progress since 1950’s


Artificial Intelligence

REASONING

(solving problems with deductive

logic)

KNOWLEDGE

(defining properties and classifying into

categories)

PLANNING

(setting sequence to achieve goal)

COMMUNICATION

(understanding written & spoken

language)

PERCEPTION

(using sensory inputs)

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Legal & financial asset management,

autonomous weapons systems, games

Medical diagnosis, fraud

prevention, purchase

prediction, financial trading

Scheduling, navigation, inventory

management, predictive

maintenance, logistics

Customer support, real-time written

and spoken language translation,

voice control

Surveillance, self-driving

vehicles, medical diagnosis


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Artificial Narrow Intelligence

Artificial General Intelligence

Artificial Super Intelligence

Significant AI Milestone

Source - DeepMind


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Couple of Lessons


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Bias can arise from

poor qualityand/or

insufficient quantity of data

Garbage In = Garbage Out


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• AI market is projected to become a USD 190 Billion industry by 2025 (Markets and Markets)

• Chatbots will power 85% of customer service by 2020 (Innovation Enterprise)

• Chatbots are expected to cut business costs by USD 8 Billion by 2022 (Impactbnd)

• 63% of customers prefer messaging with online bot to communicate with business or brand (Mindshare)

• 46% of Americans use digital voice assistants (Pew Research Center)

• 30% of companies in the world will be using AI in at least one of their sales processes by 2020 (Venture Harbour)

• Share of jobs requiring AI skills has grown 4.5 times since 2013 (Forbes)

• AI will eliminate 1.8 million jobs and create 2.3 million by 2020 (Venture Harbour)

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AI and Business – Looking Ahead


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First robot citizen

(Saudi Arabia)

AI enabling E-Justice, E-insurance, E-

Discovery, Academic Assessment,

Fraud Detection/Prevention, etc. ad

infinitum…

SexbotCarer

Assistant

Robotic and remote surgery


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For more comprehensive list of

companies offering API’s (application

programming interfaces), see list at:

www.programmableweb.com/

category/artificial-intelligence/api


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Global Landscape – AI Strategies 2018

Source – CIFAR Report, Building an AI World


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Funded AI Strategies

Under Development

Austria, Estonia, EU, Germany,

Israel, Kenya, Malaysia, Malta,

New Zealand, Poland, Sri Lanka,

Tunisia

AI Guidance Documents

Japan, China, UAE, Finland, Italy,

Sweden, India, Mexico, Germany


> US$ 8.1 Billion Committed**


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8 Areas of Strategic Priority


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April 2018 EU Guidelines for Ethical Use

(https://ec.europa/eu/futurium/en/ai-alliance-consultation)

May 2018 OECD published recommendations on AI

GDPR – Article 22

Convention 108 of the Council of Europe – adopted by EU & UK

June 2018 G20 AI Principles adopted by ministerial statement

July 2018 UK published guidelines for use of AI in public sector

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Trustworthy AI and Ethical Use


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EU Guidelines – 7 Requirements

Includes detailed questions for companies/AI

developers to address for each requirement. For

example, regarding Societal & Environmental

Wellbeing:

• Did you assess whether the AI system

encourages humans to develop attachment

and empathy towards the system?

• Did you ensure that the AI system clearly signals

that its social interaction is simulated and that it

has no capacities of “understanding” and

“feeling”?

• Did you ensure that the social impacts of the AI

system are well understood? For example, did

you assess whether there is a risk of job loss or

de-skilling of the workforce? What steps have

been taken to counteract such risks?

Pilot testing with companies in progress with final

set of questions targeted for publication in early

2020

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Isaac Asimov’s 3 Laws1. A robot may not injure a human being or, through inaction, allow a human being to come to harm.

2. A robot must obey the orders given it by human beings, except when such orders would conflict with the previous law.

3. A robot must protect its own existence as long as such protection does not conflict with the previous two laws.

What are your 3 wishes/laws for AI?

Շնորհակալություն!

THANK YOU!

[email protected]

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