artificial intelligence: the future is now...accenture inc. as the head of canada's ai...
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Artificial Intelligence: The future is now
Maya Medeiros (Norton Rose Fulbright)
Jodie Wallis (Accenture Inc.)
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Speakers
Maya Medeiros Partner
Norton Rose Fulbright
Vancouver
Ms. Medeiros’ practice focuses on
the creation, protection,
management, monetization and
enforcement of intellectual
property assets in Canada, the
United States and around the
world.
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Jodie Wallis Managing Director,
Artificial Intelligence
Accenture Inc.
As the head of Canada's AI
practice, Jodie is responsible for
bringing innovation and global AI
expertise to Canadian clients
across all industries, expanding
Accenture’s business presence in
the AI space, and attracting top
talent to our company of 411,000
employees.
What is AI?
What is the
impact on
Industry?
What are the
AI ethical
issues?
What are the
key AI legal
risks?
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Unlocking AI
value
AI is a field of computer science that includes machine learning, natural
language processing, speech processing, expert systems, robotics, and machine
vision.
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Methodologies
Machine learning
• Automating decision-
making using
programming rules and
training data sets
• Human subject-matter
experts provide feedback
on results as part of a
training process
• Can adapt its
programming based on
the training and feedback
Deep learning
• Use of multiple layers of
abstract representations
of data to optimise the
machine learning process
Supervised learning
• Labelled training data
examples are used to
infer functions that can be
used for processing new
data
• Computer can predict or
‘guess at’ the meaning of
new data based on the
training data set, graph
and network structures,
and feedback
Unsupervised learning
• Labelling data based on
inferences about its
structure and identified
features
Reinforcement
learning
• Rules to control software
action in an environment
to maximise a reward
• May not need training
data examples with
labelled data sets
AI methodologies
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Energy sector
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Infrastructure, mining and commodities sector
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Financial institutions sector
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Life sciences and healthcare sector
10
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Technology and innovation sector
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Transport sector
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What are the ethical issues?
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For AI to be accepted for use in a given market (for example, by achieving sufficient end user uptake), as a matter of commercial reality the
use of AI will need to be perceived by the participants in that market as meeting certain minimum ethical standards. What these are will vary according to the type of AI at issue
and the relevant sector in which it is deployed.
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Ethical AI requires …
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Transparency Accountabilit
y Human rights/
values
What are the key legal risks?
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Emerging
technologies
Regulatory breach
Will any regulations apply
that could be relevant in
relation to a business’s
development or use of AI
(including environmental and
health and safety
regulations)? Are new
regulations likely?
Are there any human rights
or reputational
considerations that the
business ought to take into
account?
Data privacy
Do any data privacy / data
profiling issues arise in
connection with the
business’s intended use of
AI?
Cyber security
Is there a risk of cyber
intrusion in relation to the AI,
and who could incur loss as
a result?
Insurance
Has the business reviewed
its insurance position in
relation to its development or
use of AI?
Key legal risks
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Human rights/reputation
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Supply chain impact
Does the development/use of
AI by the business change
which AI supply chain
participant(s) may be
potentially liable in
connection with it, compared
with how liability is typically
allocated now?
Civil liabilities
What types of civil liabilities
might arise for the business,
or in connection with its
supply chain?
Consumer impact
If consumers could be
affected by AI developed or
used by the business, could
the use of AI in relation to
consumers adversely affect
the liability profile of the
business?
Contractual implications
Might any such liabilities
need to be reallocated by
new contractual liability or
indemnification schemes
where appropriate?
Criminal liability
Is there a risk of criminal
liability for the business in
connection with the emerging
technology?
Key legal risks (cont’d)
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Emerging
technologies
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Emerging
technologies
Key legal risks (cont’d)
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HR/bias
Does the intended use of AI
raise any employment law
issues, or issues of bias in
relation to the business and
the provision of its goods,
services and facilities?
IPR
What steps does the
business need to take to
protect IP rights in
connection with any AI it
develops, and to protect itself
from IP infringement claims
in its use of AI?
Antitrust
Does the business’s use of AI
give rise to any competition /
antitrust issues?
Humans in loop
Is there any scope for the AI
product to provide that a
human has the power to
intervene before decisions by
the system are finalized in
order to check them, or to
override them afterwards?
Design team
Has the business made its AI
product design/development
team aware of the need to
factor the issues above into
the pre-product design phase
of an AI project?
1. Accenture Research. CBInsights Moneytree Report. 2. Pitchbook Inc. 2018
Disclaimer: Categorization is directional only. Based on an analysis of 350 Canadian companies by Accenture internal research.
Copyright © 2018 Accenture. All rights reserved.
CANADIANAISTARTUPLANDSCAPE LAST UPDATED – May 2018
OIL & GAS
INFRASTR
UCTURE
MARKET &
INSIGHTS
INSURANCE &
FRAUD
TRADING & INVESTMENTS PERSONAL
& OTHER
HR &
PRODUCTIVITY
ANALYTICS &
ML
CUSTOMER
SERVICE
MARKETI
NG
MANUFATURI
NG
COMPUTER
VISION
KNOWLEDGE GRAPH & DEEP
REASONING
SENSOR PROCESSING &
OTHER
AUDIO & TEXT
PROCESSING
MACHINE LEARNING &
ANALYTICS
TECHNO LOGIES
ENTERPRISE
FINTECH
INDUSTRIAL
PERSONAL
HEALTHCARE
EDUCATI
ON
SHOP & ENTERTAIN
AS
SISTANT
MONITO
R
RESEAR
CH
DIAGNOSTICS
ASS
ISTANT
CLEANTECH
FIVE LEVERS TO CREATE VALUE FROM AI
Each AI value lever can deliver tangible benefits to the enterprise
INTELLIGENT
AUTOMATION
Deploy cognitive
capabilities on top of
traditional automation
technologies to
achieve self learning,
greater autonomy and
flexibility.
Results include more
efficient processes,
activities, and
services.
IMPROVED
INTERACTIONS
Deliver superior
experience to
customers and users
based on hyper-
personalization and
curation of real-time
information.
On top of overall
satisfaction
improvement this can
also generate greater
acquisition and
retention rates among
customers.
INNOVATION
DIFFUSION
Use AI to enable a
new class of products
and services – that
use AI to enhance the
product development
lifecycle and create
new businesses.
Results include
increased speed with
which new products
and services are
designed and
delivered.
DEEPENED
TRUST
Build trust with
customers and within
the organization
through the use of AI,
to more effectively
prevent and detect
anomalies.
AI provides the ability
to significantly reduce
false positives, which
further improves
efficiency.
ENHANCED
JUDGEMENT
Leverage AI
capabilities to
augment human
analytical and
management
capabilities.
Results include
improved quality and
effectiveness of
prediction and
decision making.
DISRUPT LEGACY MODELS TO GAIN
ADVANTAGE
• Determine integrated solution
portfolio approach for the
organization that combines
hypothesis, capability and
innovation-led methods
• Identify key performance
metrics that measure
progress in emerging areas
• Revisit business mandates to
embed innovation at the
heart of the organization
RETHINK THE INNOVATION
CYCLE
PREPARE THE NEXT
GENERATION
ADVOCATE A CODE OF ETHICS
• Identify skill requirements in
core AI, as well as supporting
roles
• Leverage AI to power new ways
of delivering training
• Determine partnership
approaches that will augment
the workforce of the future
• Engage with government and
policy makers to align the
education system with the
needs of the new economy
• Identify elements of a
Responsible AI policy that
apply to the organization,
including fairness,
accountability and
transparency
• Align data privacy and
security efforts with AI-
powered innovation
• Assemble multi-disciplinary
team to tackle key issues
Questions
& answers
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Contacts Maya Medeiros
Partner, Norton Rose Fulbright
www.aitech.law
Jodie Wallis
Managing Director, Artificial Intelligence
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