RESPONSIBLE AI APPLIED INTELLIGENCE
RESPONSIBLE AIAPPLIED INTELLIGENCE
The Responsible AI team at Accenture is dedicated to creating human-centric Artificial Intelligence. Our goal is to understand and address the social, regulatory and economic impact of this technology from development to deployment and beyond. The team also serves as the starting point for governance internally at Accenture.
The Responsible Artificial Intelligence Team led by Dr. Rumman Chowdhury, data scientist and social scientist, and Deborah Santiago, senior leadership in Accenture Legal.
Copyright © 2018 Accenture. All rights reserved. 2
WHILE UNLOCKING VALUE, AI INTRODUCES NEW RISKS AND CHALLENGES
Copyright © 2018 Accenture. All rights reserved. 3
OPPORTUNITY TO UNLOCK TRAPPED VALUE
AI affords a tremendous opportunity not only
to increase efficiencies and reduce costs,
but has the capacity to help rethink
businesses and solve critical problems.
COMPLIANCE, GOVERNANCE& SECURITY CHALLENGEDeploying AI without anchoring to robust
compliance and core values may expose a
business to significant risks including
employment/HR, data privacy, health and
safety issues. The potential fines and
sanctions can be business threatening.
UNINTENDED CONSEQUENCESUnexpected, but harmful, outcomes have
led to consumer backlash and legal
problems. Launching AI without an
understanding of its social impact can be
risky to your company’s reputation and
brand.
These issues set the importance for Responsible AI to account for key elements: Transparency, Trustworthiness, Agency, Fairness, Accountability
COMMON ETHICAL ISSUES RAISED BY AI
Copyright © 2018 Accenture. All rights reserved. 4
Job Apocalypse AI is so ruthlessly efficient that it will lead to massive job loss.
The Singularity We will create something that is more intelligent than humans and we will lose control.
Lack of Transparency True (scary) AI doesn’t explain itself.
Inclusion & Diversity The power of AI is in the hands of the few and with the traditional power brokers.
PrivacyAI will erode our notions of data privacy and do things with data that we didn’t consent to.
Ethical Issues
Artificial StupidityThe problem is that narrow AI “plays excellent chess in a burning house”
Responsible AI is the practice of using AI with good intention to empower
employees and businesses, and fairly impact customers and society – allowing
companies to engender trust and scale AI with confidence.
WHAT DO WE MEAN BY RESPONSIBLE AI?
Copyright © 2018 Accenture. All rights reserved. 5
BASED ON FINDINGS FROM A GLOBAL SURVEYBY ACCENTURE APPLIED INTELLIGENCE, SAS, AND INTEL WITH FORBES INSIGHTS
AI MOMENTUM, MATURITY & MODELS FOR SUCCESS
SINGAPORE REPORTJANUARY 2019
WHOM WE SURVEYED KEY INDUSTRY AREAS
ABOUT THIS SURVEY –SINGAPORE*
Financial Services GovernmentManufacturing
20% 20% 20%
16% 12% 8%
Insurance Retail Communications Consumer
Goods
4%
Copyright © 2019 Accenture All rights reserved. 7
Chief Information Officer (CIO) Chief Technology Officer (CTO)
Director, Data and Analytics Director, Business Intelligence
48%
4%
40%
8%
*Part of a total of 330 respondents across APAC, US & EMEA solicited by Forbes Insights
completed this survey in late 2018. APAC refers to Australia, China, India and Japan
ARE YOU OR YOUR TEAM DEVELOPING OR DEPLOYING ARTIFICIAL INTELLIGENCE-BASED TECHNOLOGY?
84% of Singapore leaders say that they have either
deployed AI or AI is under development in their organisations,
as compared to APAC (74%), UK (75%) and US (74%) in
overall AI development.
SINGAPORE IS ON PAR WITH THE OTHER REGIONS IN AI DEPLOYMENT
36.00% 32.61% 35.00% 36.96%
48.00%41.30% 40.00% 36.96%
8.00%16.30%
20.00%10.87%
8.00% 9.78% 5.00%13.04%
2.17%
Singapore APAC United Kingdom United States
Yes, it has been deployed
It is under development
We are considering /
planning deployment
Not at this time
Unsure
Copyright © 2019 Accenture All rights reserved. 8
WHAT DO YOU SEE AS THE PRIMARY CHALLENGES TO SUCCESSFULLY IMPLEMENTING AND APPLYING AI IN YOUR ORGANIZATION (TOP 5)?
…BUT FACE THE FOLLOWING TOP 5 CHALLENGES …
32% 32%28% 28%
24%
Solutions are too costly ordisruptive
Lack of model interpretabilityand transparency
Use cases are weak orirrelevant
Lack of oversight Resistance from employeesdue to concerns about job
security
Copyright © 2019 Accenture All rights reserved. 9
Singapore execs demonstrate a much higher confidence
level of 96% in AI-based decisions or outputs, as compared
with their counterparts – 66% in APAC, 50% in the UK, and
61% in the US.
WE HAVE CONFIDENCE IN AI-BASED DECISIONS OR OUTPUTS
EVEN THOUGH THERE IS A HIGH LEVEL OF CONFIDENCE IN AI-BASED DECISIONS / OUTPUTS…
96%
66%
50%
61%
Strongly/Completely agree
Copyright © 2019 Accenture All rights reserved. 10
United States
United Kingdom
APAC
Singapore
92%THINK NOT ENOUGH IS UNDERSTOOD ABOUT THE POTENTIAL UNINTENDED CONSEQUENCES OF AI INITIATIVES
92%
54%
30%
39%
Strongly / Completely Agree
Copyright © 2019 Accenture All rights reserved. 11
United States
United Kingdom
APAC
Singapore
Singapore leaders strongly / completely agree that they don’t have enough transparency into AI decision-making processes
This could pose a block to exploring more advanced AI technique like deep learning which is even harder to explain and
interpret
… AND THERE IS NOT ENOUGH TRANSPARENCY IN AI-DECISION MAKING PROCESSES
Copyright © 2019 Accenture All rights reserved. 12
100%
44.57%40%
45.65%
Strongly/Completely agree
United States
United Kingdom
APAC
Singapore
WE ARE CONCERNED ABOUT THE IMPACT OF AI-DRIVEN DECISIONS ON
CUSTOMER ENGAGEMENT.
For example, actions will not show enough empathy or our customers will trust us less
87% OF THEM ARE CONCERNED ABOUT THE IMPACT OF AI-DRIVEN DECISIONS ON CUSTOMER ENGAGEMENT
87%
66%68%
46%
Strongly / Completely Agree
Copyright © 2019 Accenture All rights reserved. 13
United States
United Kingdom
APAC
Singapore
OUR DATA SCIENCE/AI TALENT IS FULLY EQUIPPED TO UNDERSTAND AND MANAGE THE ETHICAL IMPLICATIONS OF USING AI
Singapore execs are much more confident (88%) than their
counterparts in the rest of APAC (50%), UK (35%) and the US
(37%) that their data science / AI talent is fully equipped to
understand and manage the ethical implications of using AI.
ALTHOUGH 88% OF SINGAPORE LEADERS SAY THEIR WORKFORCE IS ETHICALLY EQUIPPED…
Copyright © 2019 Accenture All rights reserved. 14
United States
United Kingdom
APAC
Singapore
88%
50%
35% 37%
Strongly/Completely agree
IF AN AI SYSTEM PRODUCES QUESTIONABLE OR UNSATISFACTORY RESULTS, DOES YOUR ORGANIZATION HAVE A PROCESS IN PLACE FOR AUGMENTING OR OVERRIDING IT?
Only 30% of Singapore leaders agree that there is a
process in place for augmenting or overriding an output from
an AI system that produces questionable / unsatisfactory
results
… ONLY FEW AGREE THERE ARE PROCESSES IN PLACE WHEN AI OUTPUTS ARE QUESTIONABLE
10%
25%
30%
35%
Unsure
No
Yes
Under consideration
Copyright © 2019 Accenture All rights reserved. 15
STRONGER OVERSIGHT
Need for capabilities to
provide oversight to AI
systems and tools –in
augmenting or overriding an
output from an AI system
that produces questionable /
unsatisfactory results
INTERPRETABILITY & TRANSPARENCY
Need for better
approaches/tools & process
to enhance ability to interpret
& explain AI, creating
transparency to better
manage customer
engagements
KEY TAKEAWAYS
Copyright © 2019 Accenture All rights reserved. 16
AI EDUCATION
Need for continuous AI
education for leaders and
workforce to understand the
implications of use of AI, and
to overcome resistance and
to prepare workforce for the
future
LINKAGE TO BENEFITS REALIZATION
Need for better clarity on AI
use cases, and a stronger
link to benefits realization
and business outcomes
Joon Seong Lee, Applied Intelligence ASEAN Lead
Sunita Kannan, Applied Intelligence Advisory Lead
Dr. Rumman Chowdhury, Global Responsible AI [email protected]
CONTACT US
Copyright © 2018 Accenture. All rights reserved. 17